CN116527920A - Block effect detection method and device - Google Patents

Abstract

The application discloses a block effect detection method and device, and relates to the technical field of image processing. A specific implementation of the method includes: in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, acquiring quantization parameters of the second coding block and at least one coding block around the second coding block; based on the first The second coding block and the quantization parameters of at least one coding block around the second coding block determine a first target parameter; in response to determining that the first target parameter meets a first preset condition, it is determined that blockiness exists after the first coding block is encoded. This implementation manner effectively improves the detection efficiency of blocking effects.

Description

Block effect detection method and device

technical field

The present application relates to the field of computer technology, in particular to the field of image processing technology, and in particular to a block effect detection method and device.

Background technique

Video image compression algorithms are generally implemented based on the idea of blocking. For example, the current centralized international image and video compression standards: JPEG, MPEG, H264, HEVC, etc., are all methods based on block-based discrete cosine transform coding. However, such Algorithms can easily cause the processed image to produce an obvious blocky pattern, especially when transmitting at a low bit rate, such as network video. This phenomenon is called "blocky effect". This block effect is a kind of noise caused by image coding, that is, "block noise" will seriously affect the subjective visual quality of video images.

Contents of the invention

Embodiments of the present application provide a blocking effect detection method, device, device, and storage medium.

According to the first aspect, an embodiment of the present application provides a blockiness detection method, the method comprising: in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, acquiring the second coding block and the second Quantization parameters of at least one coding block around the coding block; based on the quantization parameters of the second coding block and at least one coding block around the second coding block, determining a first target parameter; in response to determining that the first target parameter conforms to the first prediction A condition is set to determine that block artifacts exist after the first coding block is coded.

According to a second aspect, an embodiment of the present application provides an apparatus for detecting blockiness, the apparatus including: an acquisition module configured to, in response to determining that the first encoding block to be encoded in the current frame is a non-boundary encoding block, acquire the second Quantization parameters of the coding block and at least one coding block surrounding the second coding block; a transition module configured to determine the first target parameter based on the quantization parameters of the second coding block and at least one coding block surrounding the second coding block ; A determination module configured to, in response to determining that the first target parameter meets a first preset condition, determine that blockiness exists after encoding of the first encoding block.

According to a third aspect, an embodiment of the present application provides an electronic device, the electronic device includes one or more processors; a storage device, on which one or more programs are stored, when the one or more programs are A plurality of processors are executed, so that one or more processors implement the blockiness detection method according to any embodiment of the first aspect.

According to a fourth aspect, an embodiment of the present application provides a computer-readable medium, on which a computer program is stored, and when the program is executed by a processor, the blockiness detection method according to any embodiment of the first aspect is implemented.

In the present application, in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, the quantization parameters of the second coding block and at least one coding block around the second coding block are obtained; based on the second coding block and the The quantization parameter of at least one coding block around the second coding block determines the first target parameter; in response to determining that the first target parameter meets the first preset condition, it is determined that there is blockiness after encoding the first coding block, which effectively improves the blockiness detection efficiency.

It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be easily understood from the following description.

Description of drawings

FIG. 1 is an exemplary system architecture diagram to which the present application can be applied;

Fig. 2 a is a flow chart of an embodiment of the blockiness detection method according to the present application;

Fig. 2b is a schematic diagram of another embodiment of the blockiness detection method according to the present application;

Fig. 2c is a schematic diagram of another embodiment of the blockiness detection method according to the present application;

FIG. 3 is a schematic diagram of an application scenario of the blockiness detection method according to the present application;

Fig. 4a is a flow chart of another embodiment of the blockiness detection method according to the present application;

Fig. 4b is a schematic diagram of another embodiment of the blockiness detection method according to the present application

FIG. 5 is a schematic diagram of an embodiment of a blockiness detection device according to the present application;

FIG. 6 is a schematic structural diagram of a computer system suitable for implementing the server of the embodiment of the present application.

Detailed ways

Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

FIG. 1 shows an exemplary system architecture 100 to which an embodiment of the blockiness detection method of the present application can be applied.

As shown in FIG. 1 , a system architecture 100 may include terminal devices 101 , 102 , 103 , a network 104 and a server 105 . The network 104 is used as a medium for providing communication links between the terminal devices 101 , 102 , 103 and the server 105 . Network 104 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others.

The terminal devices 101, 102, 103 interact with the server 105 via the network 104 to receive or send messages and the like. Various communication client applications may be installed on the terminal devices 101 , 102 , and 103 , for example, video playback applications, communication applications, and the like.

The terminal devices 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices with display screens, including but not limited to mobile phones and notebook computers. When the terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules (for example, to provide blockiness detection service), or can be implemented as a single software or software module. No specific limitation is made here.

The server 105 may be a server that provides various services, for example, in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, obtain the quantization of the second coding block and at least one coding block around the second coding block parameters; based on the quantization parameters of the second coding block and at least one coding block around the second coding block, determine the first target parameter; in response to determining that the first target parameter meets the first preset condition, determine that the first coding block exists after encoding block effect.

It should be noted that the server 105 may be hardware or software. When the server 105 is hardware, it can be implemented as a distributed server cluster composed of multiple servers, or as a single server. When the server is software, it can be implemented as a plurality of software or software modules (for example, to provide blocking effect detection service), or can be implemented as a single software or software module. No specific limitation is made here.

It should be noted that the blocking effect detection method provided by the embodiments of the present disclosure can be executed by the server 105, or by the terminal devices 101, 102, 103, or by the cooperation between the server 105 and the terminal devices 101, 102, 103 implement. Correspondingly, each part (such as each unit, subunit, module, and submodule) included in the blockiness detection device can be all set in the server 105, or can be all set in the terminal equipment 101, 102, 103, or can be set separately in the server 105 and the terminal devices 101, 102, 103.

It should be understood that the numbers of terminal devices, networks and servers in Fig. 1 are only illustrative. According to the implementation needs, there can be any number of terminal devices, networks and servers.

Fig. 2a shows a flow 200 of an embodiment of the blockiness detection method that can be applied to the present application. In this embodiment, the blocking effect detection method includes the following steps:

Step 201 , in response to determining that a first coding block to be coded in a current frame is a non-boundary coding block, obtain quantization parameters of a second coding block and at least one coding block around the second coding block.

In this embodiment, the execution subject (server 105 or terminal devices 101, 102, and 103 as shown in FIG. 1 ) can sequentially detect the encoding blocks in the current (image) frame, and in response to determining that the encoding block in the current frame The first coding block is a non-boundary coding block, that is, a coding block that is not at the edge of the image frame, and the quantization parameter of the second coding block and the quantization parameter of at least one coding block around the second coding block are obtained.

Wherein, the second coding block is a coding block located at the same position as the first coding block in a previous frame of the current frame.

Here, the quantization parameter is used to reflect the compression of spatial details. The smaller the value, the finer the quantization, the higher the image quality, and the longer the generated code stream.

It should be noted that the encoding block may be a macroblock based on the H.264 standard, or a block based on other video compression standards, which is not limited in this application. In addition, the shape of the encoding block is not limited to block shape.

Step 202: Determine a first target parameter based on the quantization parameters of the second coding block and at least one coding block surrounding the second coding block.

In this embodiment, after obtaining the quantization parameters of the second coding block and the quantization parameters of one or more coding blocks around the second coding block, the execution subject can The quantization parameter of at least one coding block is determined as a first target parameter.

Wherein, the first target parameter is used to characterize the transition trend of the surrounding blocks of the second coding block, specifically, the difference and ratio between the surrounding coding blocks, the difference and ratio between the second coding block and the surrounding coding blocks, etc. The size relationship between adjacent coding blocks is determined by the formula, and the number of parameters of the first target parameter may be one or multiple, which is not limited in this application.

In some optional manners, determining the first target parameter based on the quantization parameter of the second coding block and at least one coding block around the second coding block includes: based on the quantization parameter of the second coding block, and the second coding block Quantization parameters of each coding block in a rhombic block are used to determine the first target parameter.

In this implementation manner, the diamond-shaped block may be a quadrangular block structure composed of the second coding block and at least three coding blocks around the second coding block. The execution subject may determine the first target parameter according to the quantization parameter of the second coding block and the quantization parameters of each coding block in a diamond-shaped block where the second coding block is located.

Specifically, as shown in Figure 2b, the quantization parameter of the second coding block is x5, the quantization parameters of the coding blocks around the second coding block are x1, x2, and x4 respectively, and the first target parameter D1 can be represented by the following formula:

a1=x4/x1, a2=x2/x1, a3=x5/x4, a4=x5/x2, a5=x5/x1

In this implementation manner, the first target parameter is determined based on the second coding block and the quantization parameters of each coding block in a diamond-shaped block where the second coding block is located, which improves the accuracy and reliability of the determined first target parameter.

In some optional manners, determining the first target parameter based on the quantization parameter of the second coding block and at least one coding block around the second coding block includes: based on the quantization parameter of the second coding block, and the second coding block The quantization parameters of each coding block in at least two rhombic blocks are used to determine the first target parameter.

In this implementation, the execution subject can determine the first target parameter according to the quantization parameter of the second coding block and the quantization parameters of each coding block in one or more coding blocks in at least two diamond-shaped blocks where the second coding block is located. .

Wherein, the diamond-shaped block is a quadrangular block structure composed of the second coding block and at least three coding blocks around the second coding block.

Specifically, as shown in Figure 2c, the quantization parameter of the second encoding block is x5, the quantization parameters of each encoding block in the first diamond-shaped block where the second encoding block is located are x1, x2, x4, x5 respectively, and the second encoding The quantization parameters of each coding block in the second diamond-shaped block where the block is located are respectively x5, x6, x8, and x9, and the first target parameter includes three parameters, which are respectively D1, D2, and D3, which can be specifically expressed by the following formula:

a1=x4/x1, a2=x2/x1, a3=x5/x4, a4=x5/x2, a5=x5/x1

a6=x8/x5, a7=x6/x5, a8=x9/x8, a9=x9/x6, a10=x9/x5

D3＝a5+a10

In this implementation, the first target parameter is determined based on the second coding block and the quantization parameters of each coding block in at least two diamond-shaped blocks where the second coding block is located, which further improves the accuracy and accuracy of the determined first target parameter. reliability.

Step 203, in response to determining that the first target parameter meets the first preset condition, determine that blockiness exists after encoding the first encoding block.

In this embodiment, after obtaining the first target parameter, the execution subject can further judge whether the first target parameter meets the first preset condition. If the first preset condition is met, that is, the second coding block has blockiness, then It is determined that there will be block effects after the encoding of the first encoding block (due to the greater time correlation between the current frame and the previous encoding frame, and greater correlation between co-located blocks).

Wherein, the first preset condition is used to determine whether there is a block effect in the second encoding block, which may be specifically determined according to experience, actual requirements and specific application scenarios, which is not limited in the present application.

Specifically, for example, the first target parameter includes D1, and the execution subject can determine whether D1 is greater than a preset first threshold, and if D1 is greater than the preset first threshold, determine that blockiness exists in the first encoding block.

For another example, the target parameters include D1, D2, and D3. The executive body can judge whether D1 is greater than the first threshold, whether D2 is greater than the second threshold, and whether D3 is greater than the third threshold. 2), then it is determined that there is a block effect in the first coding block.

Wherein, the first threshold, the second threshold, and the third threshold can be set according to experience and actual needs.

Continuing to refer to FIG. 3 , FIG. 3 is a schematic diagram of an application scenario of the blockiness detection method according to this embodiment.

In the application scenario of FIG. 3 , the execution subject 301 may sequentially detect the coding blocks in the current (image) frame, and in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, that is, it is not in the image For a coding block at the edge of the frame, the quantization parameter 302 of the second coding block and the quantization parameter 303 of at least one coding block around the second coding block are obtained, wherein the second coding block is located in the previous frame of the current frame and is the same as the first A coding block at the same position as the coding block; based on the quantization parameter of the second coding block and at least one coding block around the second coding block, the first target parameter 304 is determined, and the first target parameter 304 is used to characterize the surrounding blocks of the second coding block In response to determining that the first target parameter 304 complies with the first preset condition 305, it is determined that blockiness 306 exists after encoding the first encoding block.

In the blocking effect detection method of the present disclosure, by responding to determining that the first coding block to be coded in the current frame is a non-boundary coding block, the quantization parameters of the second coding block and at least one coding block around the second coding block are obtained; based on the first Determining a first target parameter for the quantization parameters of the second coding block and at least one coding block around the second coding block; in response to determining that the first target parameter meets the first preset condition, determining that blockiness exists after the first coding block is encoded, Effectively improve the efficiency of block effect detection.

Further referring to FIG. 4a, it shows a flow 400 of another embodiment of the blockiness detection method shown in FIG. 2a. In this embodiment, the process 400 of the blockiness detection method may include the following steps:

Step 401, in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block, obtain quantization parameters of the second coding block and at least one coding block around the second coding block.

In this embodiment, for implementation details and technical effects of step 401, reference may be made to the description of step 201, and details are not repeated here.

Step 402: Determine a first target parameter based on the quantization parameters of the second coding block and at least one coding block around the second coding block.

In this embodiment, for implementation details and technical effects of step 402, reference may be made to the description of step 202, which will not be repeated here.

Step 403, in response to determining that the first target parameter meets the first preset condition, determine that blockiness exists after encoding the first encoding block.

In this embodiment, for implementation details and technical effects of step 403, reference may be made to the description of step 203, which will not be repeated here.

Step 404, updating the quantization parameter of the first coding block to eliminate the blocking effect in response to determining that there is blocking effect after encoding the first coding block.

In this embodiment, after the execution subject determines that there will be blockiness after encoding the first coding block, the quantization parameter of the first coding block can be updated to obtain a new quantization parameter to eliminate the blockiness.

Wherein, the update method may be set according to actual needs, for example, the first quantization parameter of the first encoding block is Q, and Q=Q-1 may be set.

In some optional manners, the method further includes: acquiring quantization parameters of at least two third coding blocks that have been coded around the first coding block; in response to determining that the second target parameter meets the second preset condition, The quantization parameter of the first coding block is updated.

In this implementation, the execution subject can obtain the quantization parameters of at least two third coding blocks that have been coded around the first coding block; and according to the average value of the quantization parameters of the at least two third coding blocks, the first coding block The quantization parameter of the first encoding block is further updated to obtain a new quantization parameter in response to the second target parameter meeting the second preset condition.

Wherein, the second target parameter is used to characterize the average transition trend of surrounding blocks of the first coding block.

Here, the number of coded third coded blocks around the first coded block can be two or more, for example, at least two coded third coded blocks around the first coded block can include The coding block adjacent to the first coding block and located above the first coding block, the coding block adjacent to the first coding block and located on the left side of the first coding block; at least two coded blocks around the first coding block A third coding block may include a coding block adjacent to the first coding block and located above the first coding block, a coding block adjacent to the first coding block and located on the left side of the first coding block, and a coding block adjacent to the first coding block The coding block adjacent to the block and located below the first coding block, the coding block adjacent to the first coding block and located on the right side of the first coding block, etc., are not limited in this application.

Wherein, the second preset condition can be set according to experience and actual needs.

Specifically, as shown in FIG. 4b, at least two third coding blocks that have been coded around the first coding block may include a coding block above the first coding block, a coding block on the left side of the first coding block, and The quantization parameter of the coding block above the first coding block is U0, the quantization parameter of the coding block on the left side of the first coding block is L0, and the second target parameter can be represented by the following formula:

D4＝||(L0+U0)/2|-Q|

In response to determining that the second target parameter meets the second preset condition, such as D4>4, the quantization parameter of the first encoding block is further updated, such as setting the quantization parameter Q=Q−0.5.

This implementation method obtains quantization parameters of at least two third coding blocks that have been coded around the first coding block; and updates the quantization parameters of the first coding block in response to determining that the second target parameter meets the second preset condition , which helps to further improve the effect of eliminating block effects.

In some optional manners, the method further includes: acquiring quantization parameters of at least one third coding block that has been coded around the first coding block; Assuming a condition, the quantization parameter of the first coding block is updated.

In this implementation, the execution subject can obtain the quantization parameter of at least one third coding block that has been coded around the first coding block; and compare the quantization parameter of each third coding block in the at least one third coding block The difference between quantization parameters of a coding block is determined as a third target parameter; in response to determining that at least one of the third target parameters meets the third preset condition, the first quantization parameter is further updated to obtain a new first quantization parameters.

Here, the third target parameter is used to characterize the transition trend of each surrounding block of the first coding block.

Wherein, the third preset condition can be set according to experience and actual needs.

Specifically, at least one third coding block that has been coded around the first coding block may include a coding block adjacent to the first coding block and located above the first coding block, and a coding block adjacent to the first coding block located above the first coding block. The quantization parameter of the coding block on the left side of the first coding block and the coding block above the first coding block is U0, and the coding block on the left side of the first coding block is L0. The third target parameter includes two parameters in total, respectively are D5 and D6, which can be specifically characterized by the following formula:

D5＝|U0-Q|

D6＝|L0-Q|

In response to determining that at least one of the third target parameters meets the third preset condition, such as D5>8 or D6>8, the quantization parameter of the first coding block is further updated, such as setting the quantization parameter Q=Q-1.5.

This implementation method obtains quantization parameters of at least one third coding block that has been coded around the first coding block; in response to determining that there is at least one parameter among the third target parameters that meets the third preset condition, the quantization parameters of the first coding block Quantization parameters are updated to help further improve the effect of removing block effects.

It can be seen from FIG. 4 that, compared with the embodiment corresponding to FIG. 2 , the flow 400 of the blocking artifact detection method in this embodiment reflects that in response to determining that there is blocking artifacts after the encoding of the first encoding block, the first encoding block The quantization parameters are updated to eliminate the block effect. This method effectively reduces the block effect of the current coding block and improves the subjective quality of the image, that is, the perceived quality of the human eye.

Further referring to FIG. 5 , as an implementation of the methods shown in the above figures, the present application provides an embodiment of a blockiness detection device, which corresponds to the method embodiment shown in FIG. 2 , and the device specifically It can be applied to various electronic devices.

As shown in FIG. 5 , the blockiness detection apparatus 500 of this embodiment includes: an acquisition module 501 , a transition module 502 and a determination module 503 .

Wherein, the acquiring module 501 may be configured to acquire quantization parameters of the second coding block and at least one coding block around the second coding block in response to determining that the first coding block to be coded in the current frame is a non-boundary coding block.

The transition module 502 may be configured to determine the first target parameter based on the quantization parameters of the second coding block and at least one coding block around the second coding block.

The determining module 503 may be configured to, in response to determining that the first target parameter meets the first preset condition, determine that blockiness exists after encoding the first encoding block.

In some optional forms of this embodiment, the transition module is further configured to: determine the first target parameter.

In some optional forms of this embodiment, the transition module is further configured to: based on the quantization parameter of the second coding block and the quantization parameters of each coding block in the at least two diamond-shaped blocks where the second coding block is located, determine first target parameter.

In some optional manners of this embodiment, the device further includes: a first update module configured to update the quantization parameter of the first coding block in response to determining that block artifacts exist after the first coding block is coded, so as to Eliminate blocking effects.

In some optional manners of this embodiment, the device further includes: a second update module configured to obtain quantization parameters of at least two third coding blocks that have been coded around the first coding block; in response to determining The second target parameter meets the second preset condition, and the quantization parameter of the first coding block is updated.

In some optional manners of this embodiment, the device further includes: a third update module configured to obtain quantization parameters of at least one third coding block that has been coded around the first coding block; At least one of the three target parameters meets the third preset condition, and the quantization parameter of the first coding block is updated.

According to the embodiments of the present application, the present application also provides an electronic device and a readable storage medium.

As shown in FIG. 6 , it is a block diagram of an electronic device according to the blocking effect detection method of the embodiment of the present application.

600 is a block diagram of an electronic device according to the blockiness detection method of the embodiment of the present application. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the applications described and/or claimed herein.

As shown in FIG. 6, the electronic device includes: one or more processors 601, a memory 602, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and can be mounted on a common motherboard or otherwise as desired. The processor may process instructions executed within the electronic device, including instructions stored in or on the memory, to display graphical information of a GUI on an external input/output device such as a display device coupled to an interface. In other implementations, multiple processors and/or multiple buses may be used with multiple memories and multiple memories, if desired. Likewise, multiple electronic devices may be connected, with each device providing some of the necessary operations (eg, as a server array, a set of blade servers, or a multi-processor system). In FIG. 6, a processor 601 is taken as an example.

The memory 602 is the non-transitory computer-readable storage medium provided in this application. Wherein, the memory stores instructions executable by at least one processor, so that the at least one processor executes the blockiness detection method provided in the present application. The non-transitory computer-readable storage medium of the present application stores computer instructions, and the computer instructions are used to cause a computer to execute the blockiness detection method provided in the present application.

The memory 602, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as program instructions/modules corresponding to the blocking effect detection method in the embodiment of the present application (for example, Acquisition module 501, transition module 502 and determination module 503 shown in Fig. 5). The processor 601 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory 602, that is, implements the blockiness detection method in the above method embodiments.

The memory 602 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created by using an electronic device for blocking effect detection, and the like. In addition, the memory 602 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 602 may optionally include a memory that is remotely located relative to the processor 601, and these remote memories may be connected to the electronic device for blocking effect detection through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The electronic equipment of the blocking effect detection method may further include: an input device 603 and an output device 604 . The processor 601, the memory 602, the input device 603, and the output device 604 may be connected through a bus or in other ways. In FIG. 6, connection through a bus is taken as an example.

The input device 603 can receive input digital or character information, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick and other input devices. The output device 604 may include a display device, an auxiliary lighting device (eg, LED), a tactile feedback device (eg, a vibration motor), and the like. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.

Various implementations of the systems and techniques described herein can be implemented in digital electronic circuitry, integrated circuit systems, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor Can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.

These computing programs (also referred to as programs, software, software applications, or codes) include machine instructions for a programmable processor and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine language calculation program. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or means for providing machine instructions and/or data to a programmable processor ( For example, magnetic disks, optical disks, memories, programmable logic devices (PLDs), including machine-readable media that receive machine instructions as machine-readable signals. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with the user, the systems and techniques described herein can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user. ); and a keyboard and pointing device (eg, a mouse or a trackball) through which a user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, speech input or, tactile input) to receive input from the user.

The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., as a a user computer having a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system can be interconnected by any form or medium of digital data communication, eg, a communication network. Examples of communication networks include: Local Area Network (LAN), Wide Area Network (WAN) and the Internet.

A computer system may include clients and servers. Clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other.

According to the technical solutions of the embodiments of the present application, the efficiency of blocking effect detection is effectively improved.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present application may be executed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in the present application can be achieved, no limitation is imposed herein.

The above specific implementation methods are not intended to limit the protection scope of the present application. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims (10)

1. A method of blocking detection, the method comprising:

in response to determining that a first coding block to be coded in a current frame is a non-boundary coding block, acquiring a second coding block and quantization parameters of at least one coding block around the second coding block, wherein the second coding block is a coding block positioned at the same position as the first coding block in a previous frame of the current frame;

determining a first target parameter based on the second coding block and quantization parameters of at least one coding block surrounding the second coding block, the first target parameter being used to characterize a transition trend of surrounding blocks of the second coding block;

and in response to determining that the first target parameter meets a first preset condition, determining that a blocking effect exists after the first coding block is coded.

2. The method of claim 1, wherein the determining the first target parameter based on the second encoded block and quantization parameters of at least one encoded block surrounding the second encoded block comprises:

and determining a first target parameter based on the quantization parameter of the second coding block and the quantization parameter of each coding block in one diamond-shaped block where the second coding block is located, wherein the diamond-shaped block is a block structure which is formed by the second coding block and at least three coding blocks around the second coding block and presents a quadrangle.

3. The method of claim 1, wherein the determining the first target parameter based on the second encoded block and quantization parameters of at least one encoded block surrounding the second encoded block comprises:

and determining a first target parameter based on the quantization parameter of the second coding block and the quantization parameter of each coding block in at least two diamond-shaped blocks where the second coding block is located, wherein the diamond-shaped blocks are of a quadrilateral block structure consisting of the second coding block and at least three coding blocks surrounding the second coding block.

4. The method of claim 1, the method further comprising;

in response to determining that a blocking effect exists after encoding the first encoded block, the quantization parameter of the first encoded block is updated to eliminate the blocking effect.

5. The method of claim 4, the method further comprising:

acquiring quantization parameters of at least two third coding blocks which are coded around the first coding block;

and in response to determining that a second target parameter meets a second preset condition, updating the quantization parameters of the first coding block, wherein the second target parameter is determined according to the average value of the quantization parameters of the at least two third coding blocks, and the second target parameter is used for representing the average transition trend of surrounding blocks of the first coding block.

6. The method of any of claims 4-5, further comprising:

acquiring quantization parameters of at least one third coding block which is coded around the first coding block;

and updating the quantization parameters of the first coding blocks in response to determining that at least one parameter of the third target parameters meets a third preset condition, wherein the third target parameters are determined according to differences between the quantization parameters of each third coding block in the at least one third coding block and the quantization parameters of the first coding block, and the third target parameters are used for representing transition trends of all surrounding blocks of the first coding block.

7. A blockiness detection device, the device comprising:

the acquisition module is configured to acquire a second coding block and quantization parameters of at least one coding block around the second coding block in response to determining that a first coding block to be coded in a current frame is a non-boundary coding block, wherein the second coding block is a coding block positioned at the same position as the first coding block in a previous frame of the current frame;

a transition module configured to determine a first target parameter based on the second encoding block and quantization parameters of at least one encoding block surrounding the second encoding block, the first target parameter being used to characterize a transition trend of surrounding blocks of the second encoding block;

and the determining module is configured to determine that the first coding block has a blocking effect after coding in response to determining that the first target parameter meets a first preset condition.

8. The apparatus of claim 7, the apparatus further comprising:

and an updating module configured to update the quantization parameter of the first coding block to eliminate the blocking effect in response to determining that the blocking effect exists after the first coding block is coded.

9. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.