KR102423323B1 - Apparatus for enhancing and recoding video considering weather environment - Google Patents

Abstract

According to the present invention, provided is an image improving and image recording device of a photographed image in consideration of a weather environment, which includes: an input unit which receives a photographed image generated by photographing a control area; and a processor which determines whether to correct an image for the photographed image based on image data of the photographed image, generates a histogram based on the image data, and performs at least one of stretching and smoothing on the histogram based on at least one of color data distribution, color data density, luminance data distribution, and luminance data density of the histogram.

Description

Apparatus for enhancing and recoding video considering weather environment

The present invention relates to an image improvement and image recording apparatus of a captured image in consideration of a weather environment, and more particularly, to an image recording apparatus in consideration of a weather environment in which a captured image is improved and recorded in consideration of virtual environments such as fog, haze and snow. It relates to an image enhancement and image recording apparatus.

The CCTV system is composed of a plurality of CCTV cameras, a DVR (Digital Video Recorder, a digital image storage device, a video server), and a monitoring system capable of monitoring multi-channel images of the control room.

The conventional technique for correcting color imbalance along with maintaining color homeostasis extracts an achromatic region from an input image, considers the color characteristic value of a reference channel region selected from the achromatic region, and calculates the difference in the color characteristic value of a target channel region selected from the achromatic region. Estimate a first compensation value for each color channel to be compensated for, and compensate for a difference in color characteristic values of a second channel region selected from the achromatic region and having the same channel as the first channel in consideration of the color characteristic value of the first channel region selected from the reference image The second compensation value is estimated for each color channel, and the color of the input image is corrected using the gain value obtained from the first compensation value and the second compensation value.

Such a conventional technique can eliminate color rolling, obtain a consistent image without a change in brightness or color, and improve image quality.

However, when an image is acquired through a device such as a camera in a foggy weather state, even an object having the same color has a different color in the image obtained according to the density of the fog.

In addition, when shooting in foggy weather conditions, the image captured by the camera increases the proportion of fog as the concentration of fog increases, so the object in the image acquired from the CCTV camera or CMOS image sensor loses a lot of its original color and There was a problem of having a value close to color (or light).

Therefore, a general vision algorithm using color information of an image cannot provide good results in a region with a higher fog density. Therefore, when an image with a lot of fog is obtained, there are many techniques and methods for polarization that create a similar image compared to the image when there is no fog.

Korean Patent Publication No. 10-2006-0067723

An object of the present invention is to correct the color and brightness of a photographed image in response to a virtual environment such as fog, haze and snow, improve the corrected image, and record the improved image in consideration of the weather environment. To provide an image improvement and image recording apparatus.

The objects of the present invention are not limited to the above-mentioned objects, and other objects and advantages of the present invention not mentioned may be understood by the following description, and will be more clearly understood by the examples of the present invention. It will also be readily apparent that the objects and advantages of the present invention may be realized by the means and combinations thereof indicated in the appended claims.

An image improvement and image recording apparatus of a captured image in consideration of a weather environment according to the present invention includes an input unit for receiving a captured image generated by photographing a control area; and determining whether to correct an image for the captured image based on the image data of the captured image, generating a histogram based on the image data, and color data distribution of the histogram, color data density, luminance data distribution, and luminance data and a processor configured to perform at least one of stretching and smoothing on the histogram based on at least one of density.

Preferably, the processor generates a color histogram based on color data among the image data, and if the color data distribution of the color histogram is less than a reference color data distribution, the color data distribution of the color histogram is a corrected color data distribution. A stretched color histogram may be generated by stretching the color histogram to be abnormal.

Preferably, the processor determines whether the color data density is included in a reference color data density range for each color data value section of the stretching color histogram, and the color data in the color data value section that is not included in the reference color data density range A corrected color histogram may be generated by smoothing the stretched color histogram so that the density is included in the reference color data density range.

Preferably, the processor may determine whether luminance data among the image data is included in the reference luminance data range, and if the luminance data is not included in the reference luminance data range, it may be determined that image correction is performed on the captured image. .

Preferably, the processor may set a candidate reference luminance data range corresponding to the photographing environment information of the captured image among a plurality of candidate reference luminance data ranges as the reference luminance data range.

Preferably, the processor generates a luminance histogram based on luminance data among the image data, and when the luminance data distribution of the luminance histogram is less than a reference luminance data distribution, the luminance data distribution of the luminance histogram is a corrected luminance data distribution The stretched luminance histogram may be generated by stretching the luminance histogram to be abnormal.

Preferably, the processor checks whether the luminance data density is included in a reference luminance data density range for each luminance data value section of the stretching luminance histogram, and the luminance data in the luminance data value section that is not included in the reference luminance data density range A corrected luminance histogram may be generated by smoothing the stretched luminance histogram so that the density is included in the reference luminance data density range.

The image improvement and image recording apparatus of a captured image in consideration of a weather environment according to the present invention corrects the color and luminance of a captured image in response to virtual environments such as fog, haze and snow, improves the corrected image, and provides improved By recording the image, it is possible to improve the sharpness of the image captured in the weather environment of bad weather and the ease of distinguishing objects.

1 is a diagram illustrating an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
2 is a diagram illustrating image improvement of a captured image in consideration of a weather environment and a connection state between the image recording apparatus and the photographing apparatus according to an embodiment of the present invention.
3 is a block diagram of an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
4 is a diagram illustrating a color histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
5 is a diagram illustrating a stretching color histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
6 is a diagram illustrating a corrected color histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
7 is a diagram illustrating a luminance histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.
8 is a diagram illustrating a stretching luminance histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a wake-up environment according to an embodiment of the present invention.
9 is a diagram illustrating a corrected luminance histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a weather environment according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that various modifications, equivalents, and/or alternatives of the embodiments of the present invention are included. In connection with the description of the drawings, like reference numerals may be used for like elements.

In this document, expressions such as "has", "may have", "includes", or "may include" refer to the presence of a corresponding characteristic (eg, a numerical value, function, operation, or component such as a part). and does not exclude the presence of additional features.

In this document, expressions such as “A or B”, “at least one of A or/and B”, or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B”, “at least one of A and B”, or “at least one of A or B” means (1) includes at least one A, (2) includes at least one B, or (3) It may refer to all cases including both at least one A and at least one B.

Expressions such as "first", "second", "first", or "second" used in this document may modify various elements, regardless of order and/or importance, and refer to one element. It is used only to distinguish it from other components, and does not limit the components. For example, the first user equipment and the second user equipment may represent different user equipment regardless of order or importance. For example, without departing from the scope of rights described in this document, a first component may be referred to as a second component, and similarly, the second component may also be renamed as a first component.

A component (eg, a first component) is "coupled with/to (operatively or communicatively)" to another component (eg, a second component) When referring to "connected to", it should be understood that the certain element may be directly connected to the other element or may be connected through another element (eg, a third element). On the other hand, when it is said that a component (eg, a first component) is "directly connected" or "directly connected" to another component (eg, a second component), the component and the other component It may be understood that other components (eg, a third component) do not exist between the components.

The expression "configured to (or configured to)" as used in this document, depending on the context, for example, "suitable for", "having the capacity to )", "designed to", "adapted to", "made to", or "capable of" . The term "configured (or set up to)" may not necessarily mean only "specifically designed to" in hardware. Instead, in some circumstances, the expression “a device configured to” may mean that the device is “capable of” with other devices or parts. For example, the phrase “a controller configured (or configured to perform) A, B, and C” may refer to a dedicated processor (eg, an embedded processor) for performing the corresponding operations, or by executing one or more software programs stored in memory. , may mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

In particular, in this specification, “~ device” may include one or more of a central processing unit (CPU), an application processor (AP), and a communication processor (CP). .

In this specification, “~ device” means all kinds of hardware devices including at least one processor, and may be understood as encompassing software configurations operating in the corresponding hardware device according to embodiments. For example, "~ device" may be understood as a meaning that includes all of the machine-driven devices, smart phones, tablet PCs, desktops, notebooks, and user clients and applications running on each device, and is not limited thereto.

Terms used in this document are only used to describe specific embodiments, and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meanings as commonly understood by one of ordinary skill in the art described in this document. Among the terms used in this document, terms defined in a general dictionary may be interpreted with the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, have an ideal or excessively formal meaning. not interpreted In some cases, even terms defined in this document cannot be construed to exclude embodiments of this document.

1 is a diagram illustrating an image improvement and image recording apparatus of a captured image in consideration of a wake-up environment according to an embodiment of the present invention, and FIG. 2 is an image improvement of a captured image in consideration of a wake-up environment according to an embodiment of the present invention. and a diagram illustrating a connection state between an image recording apparatus and a photographing apparatus, and FIG. 3 is a block diagram of an image improvement and image recording apparatus of a photographed image in consideration of a weather environment according to an embodiment of the present invention.

1 to 3 , the image improvement and image recording apparatus 100 of a photographed image in consideration of a weather environment according to an embodiment of the present invention receives a photographed image generated from the photographing apparatus CC, and receives luminance and It can be recorded by improving the color.

Here, the photographing device CC may be a device for photographing the control area. Specifically, the photographing device CC may be disposed in a military base, a police facility, a public office, a national security facility, an airport, a port, a power plant, a national infrastructure, or a private facility requiring security to photograph the control area.

In this case, the photographing device CC may be a color image camera or a thermal image camera. Preferably, as long as the photographing device CC can photograph the control area, it should be noted that the type of the photographing method and the format type of the photographed image are not limited.

Preferably, the photographing device (CC) may be one or more of a Closed-Circuit Television (CCTV) camera, a Thermal Observation Device (TOD), and an Unmanned Aerial Vehicle (UAV).

At this time, when the photographing device CC is a CCTV camera, the photographing device CC may generate one or more of an RGB photographed image and a B&W photographed image as a photographed image, and when the photographing apparatus CC is a TOD, photographing The device CC may generate a thermal imaging image as a captured image, and when the photographing device CC is a UAV, the photographing device CC may generate an aerial captured image captured in the air.

In an embodiment, when the photographing device CC is a TOD, the photographing device CC may be a third-generation TOD “TAS-815K”.

Meanwhile, the image improvement and image recording apparatus 100 of a captured image in consideration of the weather environment according to an embodiment of the present invention is disposed indoors and outdoors, and is connected to the photographing apparatus CC to output a photographed image output from the photographing apparatus CC. It can be recorded by receiving input or correcting it.

Here, the recording may mean that the captured image is stored in a storage medium provided in the storage unit 140 to be described later.

Here, the correction may mean improving the visibility of the object image and the person image photographed in the photographed image by correcting the image data of the photographed image.

The image improvement and image recording apparatus 100 of the captured image in consideration of the weather environment according to an embodiment of the present invention includes an input unit 110 , a processor 120 , a communication unit 130 , a storage unit 140 , and an operation unit ( 150), a power supply unit 160, a display unit 170, and a carrier (B) may be included.

The input unit 110 may be connected to the photographing device CC by wire or wirelessly to receive a photographed image generated by the photographing apparatus CC photographing the control area. The input unit 110 includes a plurality of image channel input terminals, and each image channel input terminal is connected to the photographing device CC so that a photographed image may be input to the input unit 110 .

In addition, the image channel input terminal may receive power and a captured image at the same time, and may be a complex provided with an anti-loosening connector.

Such an image channel input terminal may be a terminal according to the VGA standard.

Meanwhile, the captured image may have a compression method of either H.264 or H.265, and an image quality of FULL HD 1080P (1920x1080) or higher and 60FPS or higher.

The input unit 110 may receive various information and data from or output to the external device in addition to the output of the captured image. To this end, the input unit 110 may include an input/output terminal of the USB standard, an input/output terminal of any one of RS 485, RS 232, and RJ 45, and a check terminal of the CVBS standard.

On the other hand, the processor 120 determines whether to correct the image for the captured image based on the image data of the captured image, and if it is determined to perform image correction on the captured image, one of stretching and smoothing in the histogram of the captured image more can be done.

Here, the image data may be data corresponding to the entire area instead of a partial area of the captured image, or data corresponding to a non-fixed area of the captured image except for the fixed area.

That is, the processor 120 may determine whether to correct the image for the captured image based on image data corresponding to the entire area of the captured image, and the captured image is based on the image data corresponding to the non-fixed area of the captured image. Whether to correct the image for the image may be determined.

To this end, the processor 120 may set a fixed area and a non-fixed area based on the image data. Specifically, the processor 120 may calculate an average data value for each unit region of image data generated during a preset period, and may calculate variation information between data average values for each unit region for a preset period.

For example, when the preset period is one day, the processor 120 may calculate an average of image data values corresponding to a unit region at the same location among image data generated for one day as a data average value.

Thereafter, when the preset period is 7 days, the processor 120 may calculate a change amount for each unit area of the data average value for each unit area calculated for 7 days as change amount information.

In this case, when the change amount information exceeds the reference change amount information, the processor 120 may set the corresponding unit area as a non-fixed area.

Conversely, if the change amount information is equal to or less than the reference change amount information, the processor 120 may set the corresponding unit area as a fixed area.

That is, the processor 120 sets an area in which the change in image data is small because a moving object is not photographed as a fixed area, and sets an area in which the image data changes because a moving object is photographed as a non-fixed area, and the non-fixed area Image correction can be performed only for .

The processor 120 may unconditionally perform image correction on the captured image without determining whether to correct the image, determine whether to correct the image on the captured image based on image data of the captured image, and perform image correction If it is determined to be, image correction may be performed on the captured image.

In this case, the processor 120 may perform image correction on the captured image when the weather information at the time of capturing the captured image satisfies the correction condition.

Specifically, when the weather information indicates any one of fog, mist, and haze, the processor 120 may determine that the weather information satisfies a correction condition and perform image correction on the captured image.

In addition, the processor 120 determines that the weather information satisfies the correction condition when the weather information indicates the amount of fine dust that exceeds the preset amount of fine dust, the amount of precipitation that exceeds the preset amount of precipitation, and the amount of snow that exceeds the preset amount of snowfall. Image correction may be performed on the image.

Meanwhile, the processor 120 may determine whether luminance data of the image data is included in the reference luminance data range, and if the luminance data is not included in the reference luminance data range, it may be determined that image correction is performed on the captured image. have.

To this end, the processor 120 may set a candidate reference luminance data range corresponding to the photographing environment information of the captured image among a plurality of candidate reference luminance data ranges as the reference luminance data range.

Specifically, the processor 120 may check the photographing environment information of the photographed image, and may determine the candidate reference luminance data range corresponding to the corresponding photographing environment information.

Here, the photographing environment information may include photographing date and time information, photographing altitude information, and photographing location information.

Here, the shooting environment information is matched to the candidate reference luminance data range, and when there is no fog, fog, haze, rain, snow, and dust in the shooting environment indicated by the shooting environment information, the luminance data of the captured image is can be defined based on

Through this, when the luminance data is not included in the reference luminance data range due to fog, mist, haze, rain, snow, and dust, the processor 120 may determine to perform image correction on the captured image.

Thereafter, the processor 120 generates a histogram based on the image data, and one of stretching and smoothing the histogram based on at least one of a color data distribution, a color data density, a luminance data distribution, and a luminance data density of the histogram. more can be done.

Specifically, the processor 120 generates a color histogram based on color data among image data, performs stretching on the color histogram based on the color data distribution of the color histogram, and performs smoothing on the color histogram based on the color data density. can be done

Meanwhile, the processor 120 generates a luminance histogram based on luminance data among the image data, stretches the luminance histogram based on the luminance data distribution of the luminance histogram, and performs smoothing on the luminance histogram based on the luminance data density. can do.

That is, the processor 120 may separate color data and luminance data from the image data, respectively, and generate a color histogram and a luminance histogram from each of the color data and the luminance data.

First, a process of performing correction using a color histogram will be described.

4 is a view illustrating a color histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a wake-up environment according to an embodiment of the present invention, and FIG. 5 is a wake-up environment according to an embodiment of the present invention. It is a view showing a stretching color histogram generated by the image improvement and image recording apparatus of the taken image in consideration, and FIG. 6 is an image improvement and image recording apparatus of the captured image in consideration of the weather environment according to an embodiment of the present invention. It is a diagram showing the corrected color histogram.

4 , the processor 120 may extract color data from image data and generate a color histogram CH using the color data.

The color histogram is information indicating the number of pixels corresponding to each color data value, and may be a table indicating the distribution of color data.

Thereafter, when the color data distribution of the color histogram CH is less than the reference color data distribution, the processor 120 is configured so that the color data distribution of the color histogram CH is equal to or greater than the corrected color data distribution. ) can be stretched to generate a stretch color histogram (SCH).

In this case, the color data distribution may be a ratio of a section CB of the minimum color data value to the maximum color data value of the color data to the color data range that is the x-axis of the color histogram.

Thereafter, as shown in FIG. 5 , the processor 120 may stretch the color histogram CH by increasing or decreasing each color data value of the color data to adjust the interval between each color data value of the color data. have.

Next, the processor 120 may determine whether the color data density is included in the reference color data density range for each color data value section CM of the stretching color histogram SCH.

As shown in FIG. 6 , the processor 120 is configured to allow the color data density of the color data value section CM that is not included in the reference color data density range to be included in the reference color data density range. A corrected color histogram SCH' may be generated by smoothing the stretched color histogram.

Here, the color data density may be a ratio between the color data value section CM and the number of color data in which data values exist.

That is, the processor 120 may distribute the color data values by increasing or decreasing each color data value of the color data value section CM exceeding the reference color data density range.

Conversely, the processor 120 may increase or decrease each color data value of the color data in the color data value section CM that is less than the reference color data density range to densify the color data values.

Hereinafter, a process of performing correction using a luminance histogram will be described.

7 is a view showing a luminance histogram generated by an image improvement and image recording apparatus of a captured image in consideration of a wake-up environment according to an embodiment of the present invention, and FIG. 8 is a wake-up environment according to an embodiment of the present invention. It is a view showing the image improvement and stretching luminance histogram generated by the image recording apparatus of the captured image, and FIG. 9 is the image improvement and the image recording apparatus of the captured image in consideration of the weather environment according to an embodiment of the present invention. It is a diagram showing the corrected luminance histogram.

Referring further to FIG. 7 , the processor 120 may extract luminance data from image data and generate a luminance histogram YH using the luminance data.

The luminance histogram is information indicating the number of pixels corresponding to each luminance data value, and may be a table indicating the distribution of luminance data.

Then, when the luminance data distribution of the luminance histogram YH is less than the reference luminance data distribution, the processor 120 sets the luminance histogram YH so that the luminance data distribution of the luminance histogram YH is equal to or greater than the corrected luminance data distribution. ) can be stretched to generate a stretching luminance histogram (SYH).

In this case, the luminance data distribution may be a ratio of the section YB of the minimum luminance data value to the maximum luminance data value of the luminance data to the luminance data range that is the x-axis of the luminance histogram.

Thereafter, as shown in FIG. 8 , the processor 120 increases or decreases the luminance data value of each luminance data to adjust the interval between the luminance data values of the luminance data, thereby stretching the luminance histogram YH. have.

Next, the processor 120 may check whether the luminance data density is included in the reference luminance data density range for each luminance data value section YM of the stretching luminance histogram SYH.

As shown in FIG. 9 , the processor 120 controls the luminance data density of the luminance data value section YM that is not included in the reference luminance data density range to be included in the reference luminance data density range. A corrected luminance histogram SYH' may be generated by smoothing the stretched luminance histogram.

Here, the luminance data density may be a ratio between the number of luminance data in which data values exist compared to the luminance data value section YM.

That is, the processor 120 may disperse the luminance data values by increasing or decreasing each luminance data value of the luminance data value section YM exceeding the reference luminance data density range.

Conversely, the processor 120 may increase or decrease each of the luminance data values of the luminance data in the luminance data value section YM that is less than the reference luminance data density range to cluster the luminance data values.

Thereafter, the processor 120 may read the corrected color data and the corrected luminance data from each of the corrected color histogram and the corrected luminance histogram, and merge the corrected color data and the corrected luminance data to generate corrected image data.

Thereafter, the processor 120 may control the display unit 170 to display the corrected image based on the corrected image data or control the storage unit 140 to store the corrected image data.

Meanwhile, the processor 120 may perform one or more of gamma correction and edge correction on the corrected image data. Here, although each correction method of gamma correction and edge correction is not limited, a correction algorithm suitable for improving visibility of a captured image may be adopted.

On the other hand, the processor 120 may perform the operation of each component described above, and one or more cores (core, not shown) and a graphic processing unit (not shown) and/or a connection path for transmitting and receiving signals with other components ( for example, a bus, etc.).

The processor 120 may be configured to execute one or more instructions stored in the storage unit 140 to perform the operation of each of the above-described components.

Meanwhile, the communication unit 130 may provide a communication interface necessary to provide a transmission/reception signal between an external device and each device in the form of packet data by interworking with a communication network. Furthermore, the communication unit 130 may serve to transmit data in response to a data request of each device.

Here, the communication unit 130 may be a device including hardware and software necessary for transmitting and receiving signals such as control signals or data signals through wired/wireless connection with other network devices.

Also, when a captured image is input, the communication unit 130 may receive weather information from the weather server and provide it to the processor 120 .

The storage unit 140 may store programs (one or more instructions) for processing and controlling the processor 120 . Programs stored in the storage 140 may be divided into a plurality of modules according to functions.

Also, the storage unit 140 may store the captured image and the corrected captured image.

In this case, the storage unit 140 may first store the captured image input to the input unit 110 when power is supplied to the power supply unit 160 , and may also store the captured image corrected by the processor 120 .

In this case, the storage unit 140 may preserve the corrected captured image and delete the uncorrected captured image when both the captured image and the corrected photographed image having the same photographing time point are stored.

Meanwhile, the storage unit 140 may store the captured images for 5 days based on 24 hours a day.

As shown in FIG. 2 , the manipulation unit 150 may provide a user with buttons for controlling various manipulation operations.

The power supply unit 160 may supply power for image improvement of a captured image in consideration of a weather environment and operation of the image recording apparatus 100 .

To this end, the power supply unit 160 may include a power input port.

The power supply unit 160 may have an input voltage range of 72V to 100V DC, an output power of 12V DC and 5A, an output ripple/noise of Max.50mVp-p or less, and an insulation voltage (withstanding voltage) It may be AC 1,500V (60Hz) or more, and insulation resistance may be 100MΩ or more.

In addition, the power supply unit 160 is cooled by a natural cooling method and may have a cooling efficiency of 85% or more.

In addition, the power supply unit 160 may include a protection circuit capable of surge protection, reverse voltage (reverse polarity) protection, overvoltage protection, overcurrent protection, low voltage (input 50V) and high voltage (input 130V) automatic power protection.

Various information may be input from the store staff through the touch screen coupled to the display unit 170 .

The display unit 170 may display an image or a video under the control of the processor 120 . In particular, the display unit 170 may display a captured image or a corrected captured image.

According to an embodiment, the display unit 170 may be a touch screen display combined with a touch screen.

The carrier (B) may accommodate the configuration of the image improvement and image recording apparatus 100 of the captured image in consideration of the above-described weather environment therein.

Such a carrier (B) may be formed of a material capable of waterproofing, dustproofing and flameproofing so that the image improvement and image recording apparatus 100 of the captured image in consideration of the weather environment is disposed both inside and outside to correct and record the captured image. have.

In addition, the carrier (B) is sealed so as to facilitate movement by the user in a state of accommodating the image improvement of the captured image and the configuration of the image recording apparatus 100 in consideration of the above-described weather environment, it is possible to block the inside from the outside And it may be provided with a handle that can be gripped by a user, and a movable wheel.

So far, the present invention has been focused on preferred embodiments. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in modified forms without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within an equivalent scope should be construed as being included in the present invention.

As described above, although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited thereto, and the technical idea of the present invention and the following by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

100: Image improvement and image recording device of the captured image in consideration of the weather environment
110: input unit
120: processor
130: communication department
140: storage
150: control panel
160: power unit
170: display unit
B: carrier

Claims (7)

an input unit for receiving a captured image generated by photographing the control area; and
When the average data value for each unit area of the image data of the captured image generated during a preset period is calculated, information on the amount of change between the average values of the data for each unit area for a preset period is calculated, and the amount of change information exceeds the reference amount of change information setting the corresponding unit area as a non-fixed area, and if the change amount information is less than or equal to the reference change amount information, setting the corresponding unit area as a fixed area,
If the weather information at the time of capturing the captured image satisfies the correction condition or if the luminance data among the image data is not included in the reference luminance data range, it is determined that image correction is performed only for the non-fixed region of the captured image,
setting a candidate reference luminance data range corresponding to the shooting environment information of the captured image among a plurality of candidate reference luminance data ranges as the reference luminance data range;
a processor that generates a histogram based on the image data, and performs one or more of stretching and smoothing on the histogram based on at least one of a color data distribution, a color data density, a luminance data distribution, and a luminance data density of the histogram; including,
The shooting environment information is
Includes shooting date and time information, shooting altitude information, and shooting location information,
The plurality of candidate reference luminance data ranges are
When the shooting environment information is matched and there is no fog, mist, haze, rain, snow and dust in the shooting environment indicated by the shooting environment information, it is defined based on the luminance data of the captured image,
the processor
If the weather information indicates the amount of fine dust exceeding the preset amount of fine dust, or indicates the amount of precipitation exceeding the preset amount of precipitation, or indicates the amount of snowfall exceeding the preset amount of snowfall, determining that the corresponding weather information satisfies the correction condition characterized
Image improvement and image recording device of captured images considering the weather environment.
According to claim 1,
the processor
A color histogram is generated based on color data among the image data, and when the color data distribution of the color histogram is less than a reference color data distribution, the color histogram is such that the color data distribution of the color histogram is equal to or greater than the corrected color data distribution. Stretching to generate a stretching color histogram
Image improvement and image recording device of captured images considering the weather environment.
3. The method of claim 2,
the processor
Check whether the color data density is included in the reference color data density range for each color data value section of the stretched color histogram, and the color data density in the color data value section that is not included in the reference color data density range is the reference color data Smoothing the stretched color histogram so as to be included in the density range to generate a corrected color histogram
Image improvement and image recording device of captured images considering the weather environment.
delete delete According to claim 1,
the processor
A luminance histogram is generated based on luminance data among the image data, and when the luminance data distribution of the luminance histogram is less than the reference luminance data distribution, the luminance histogram is such that the luminance data distribution of the luminance histogram is equal to or greater than the corrected luminance data distribution. Characterized in generating a stretching luminance histogram by stretching
Image improvement and image recording device of captured images considering the weather environment.
7. The method of claim 6,
the processor
It is checked whether the luminance data density is included in the reference luminance data density range for each luminance data value section of the stretched luminance histogram, and the luminance data density of the luminance data value section that is not included in the reference luminance data density range is the reference luminance data A corrected luminance histogram is generated by smoothing the stretched luminance histogram so as to be included in the density range.
Image improvement and image recording device of captured images considering the weather environment.

Images