CN102638667A - Dynamic adaptive de-interlacing device and method - Google Patents

Abstract

A motion adaptive de-interlacing device includes a motion detection unit, an adaptation unit and a motion recursion unit. The motion detection unit is used to calculate a plurality of current motions of a plurality of pixels of an image block. The adaptation unit is used to analyze at least one image feature of the image block and adjust and determine an adaptation factor accordingly. The motion recursion unit is used to mix the current motions with a plurality of previous motions corresponding to the pixels according to the adjusted adaptation factor to obtain a plurality of mixed motions.

Description

Dynamic adaptive de-interlacing device and method

technical field

The present invention relates to a dynamic adaptive de-interlacing device and method, and in particular to a dynamic adaptive de-interlacing device and method capable of improving overall image quality.

Background technique

A conventional motion adaptive de-interlacing device detects the motion of an object to control the blending of spatially and temporally interleaved pixels according to a fixed blending ratio α to obtain blending motion. However, for pixel blocks with fast repetitive motion, motion detection may fail because a fixed frame refresh rate (eg, 60 Hz or 120 Hz) is insufficient to represent fast moving objects. That is, a moving object will be regarded as a stationary object due to insufficient frame rate, resulting in a pseudo still phenomenon, and some combing phenomena will be generated near the moving object.

The fixed mixing ratio α of the traditional dynamic adaptive de-interlacing device will be set higher to avoid the pseudo-static phenomenon in the fast-moving picture, but it will make a small part of moving objects or noise in the still-moving picture The problem of motion hysteresis occurs in the area of signal disturbance, which reduces the display quality of the picture.

Contents of the invention

The invention relates to a dynamic adaptive de-interlacing device and method, which can improve the overall image quality by analyzing image features and adjusting an adaptation factor accordingly.

According to the first aspect of the present invention, a dynamic adaptive deinterleaving device is proposed, including a dynamic detection unit, an adaptation unit and a dynamic recursion unit. The motion detection unit is used for calculating multiple current motions of multiple pixels of an image block. The adaptation unit is used for analyzing at least one image characteristic of the image block and adjusting and determining an adaptation factor accordingly. The motion recursive unit is used to respectively blend the current motions and the previous motions corresponding to the pixels according to the adjusted adaptation factors to obtain multiple mixed motions.

According to the second aspect of the present invention, a dynamic adaptive de-interleaving method is proposed, comprising the following steps. Multiple current motions of multiple pixels of an image block are calculated. Analyzing at least one image characteristic of the image block and adjusting and determining an adaptation factor accordingly. The current motions are mixed with the previous motions corresponding to the pixels according to the adjusted adaptation factors to obtain multiple mixed motions.

In order to have a better understanding of the above-mentioned and other aspects of the present invention, the preferred embodiments are specifically cited below, together with the attached drawings, and are described in detail as follows:

Description of drawings

FIG. 1 is a block diagram of a dynamic adaptive deinterleaving device according to a preferred embodiment of the present invention.

FIG. 2 is a block diagram of an example of an adaptation unit according to a preferred embodiment of the present invention.

FIG. 3 is a flowchart illustrating an example of an adaptation factor adjustment decision according to a preferred embodiment of the present invention.

FIG. 4 is a flow chart showing another example of the adaptation factor adjustment decision according to the preferred embodiment of the present invention.

[Description of main component symbols]

100: Dynamic Adaptive Deinterleaving Device

110: Low-pass filter

120: dynamic detection unit

130: Adaptation unit

132: Scene Change Detector

134: Alternate detector

135: Edge Calculator

136: Edge detector

137: Edge Accumulator

138: Dynamic Calculator

139: Adapter

140: Dynamic memory unit

150: Dynamic recursive unit

160: Dynamic lookup table unit

Detailed ways

The present invention proposes a dynamic (motion) adaptive de-interlacing device and method, by analyzing image features and adjusting an adaptive factor (adaptive factor), so the image can be dynamically adaptively de-interlaced according to the adjusted adaptive factor Interlacing improves the overall image quality.

The present invention proposes a dynamic adaptive deinterleaving device, which includes a dynamic detection unit, an adaptation unit and a dynamic recursion unit. The motion detection unit is used for calculating multiple current motions of multiple pixels of an image block. The adaptation unit is used for analyzing at least one image characteristic of the image block and adjusting and determining an adaptation factor accordingly. The motion recursive unit is used to respectively blend the current motions and the previous motions corresponding to the pixels according to the adjusted adaptation factors to obtain multiple mixed motions.

Please refer to FIG. 1 , which shows a block diagram of a dynamic adaptive deinterleaving device according to a preferred embodiment of the present invention. The dynamic adaptive deinterleaving device 100 includes a low-pass filter 110, a dynamic detection (motion detection) unit 120, an adaptation unit (adaptation unit) 130, a dynamic storage (motion memory) unit 140, a dynamic recursion (motion recursion) unit 150 and a dynamic look-up table (motion LUT) unit 160. The low-pass filter 110 is used for low-pass filtering the input pixel data to remove possible noise, and the low-pass filtered pixel data Data will be sent to the motion detection unit 120 and the adaptation unit 130 .

The motion detection unit 120 calculates a plurality of current motion m_curr of a plurality of pixels of an image block, wherein the image block is, for example, an image frame or an image field, depending on requirements. Among them, the dynamic can be obtained from the difference of pixels in two adjacent frames or fields. At the same time, the adaptation unit 130 will analyze at least one image feature of the image block according to the pixel data Data transmitted by the low-pass filter 110 or the current motion m_curr calculated by the motion detection unit 120, and adjust and determine a Adaptation factor α. Wherein, the image feature is, for example, scene change, overall average motion, edge feature, or black-and-white picture alternation, etc., and is not limited thereto.

The dynamic storage unit 140 is used for storing a plurality of previous dynamics m_prev corresponding to a plurality of pixels of the image block. The motion recursive unit 150 blends the multiple current motions m_curr and the corresponding multiple previous motions m_prev according to the adaptation factor α adjusted by the adaptation unit 130 to obtain multiple blending motions bm. Wherein, the mixing of the current dynamic m_curr and the corresponding previous dynamic m_prev can be performed according to the following formula (1).

bm=m_curr×(1-α)+m_prev×α (1)

Afterwards, the dynamic look-up table unit 160 outputs the multiple hybrid dynamics bm into multiple adjusted hybrid dynamics according to a dynamic look-up table.

Next, image features including scene change, dynamics, edges, and black-and-white image alternation are taken as examples for illustration, but the present invention is not limited thereto. Please refer to FIG. 2 , which shows a block diagram of an example of an adaptation unit according to a preferred embodiment of the present invention. The adaptation unit 130 includes a scene change detector 132 , an alternation detector 134 , an edge calculator 135 , a dynamic calculator 138 and an adapter 139 . The scene change detector 132 receives the pixel data Data and detects the difference between the current pixel data and the previous pixel data of the pixel to determine a scene change index (index). That is, the scene change detector 132 determines the size of the scene change indicator according to whether the scene is switched or not. For example, when the scene is switched (for example, jumping from a dark scene to a bright scene), the scene change detector 132 will set the scene change index as a low index value. Otherwise, the scene change detector 132 will set the scene change index to a high index value. Among them, assuming that the base is 16, the low index value is between 1 and 5, the high index value is between 12 and 15, and the middle index value is between 6 and 11.

The alternation detector 134 receives the pixel data Data and determines an alternation indicator according to the pixel data Data. The alternation detector 134 essentially detects whether the frame is in the order of black frame/white frame/black frame/white frame . . . according to the input pixel data Data. If yes, the alternation detector 134 sets the alternation index to a low index value; if not, the alternation detector 134 sets the alternation index to a high index value.

The edge calculator 135 includes an edge detector 136 and an edge accumulator 137 . The edge detector 136 receives the pixel data Data and detects a plurality of corresponding edge orientations according to the current pixel data of the pixel. The edge orientations are, for example, horizontal, vertical, diagonal or messy. The edge accumulator 137 respectively accumulates the numbers of different edge tendencies to determine an edge index. For example, when the edge accumulator 137 determines that the number of edges tending to be chaotic is large, it sets the edge index to a low index value. If the edge accumulator 137 judges that all kinds of edge tendencies are less (towards smoothing), it will set the edge index to a high index value.

The motion calculator 138 receives multiple current motions m_curr of the same image frame or the same image field, and accumulates these current motions or finds the average motion of these current motions to compare with a corresponding predetermined threshold value to determine a motion index. If it is greater than the predetermined threshold value, the dynamic calculator 138 will set the dynamic index as a high index value; if it is lower than the predetermined threshold value, the dynamic calculator 138 will set the dynamic index as an intermediate index value or a low index value.

The adapter 139 adjusts and determines the adaptation factor α according to the scene change index, the alternation index, the edge index and the dynamic index, and outputs the adaptation factor α to the dynamic recursive unit 150 . Please refer to FIG. 3 , which shows a flow chart of an example of an adaptation factor adjustment decision according to a preferred embodiment of the present invention. In step S300 , the scene change detector 132 determines a scene change index according to whether the scene is switched or not. In step S310, the alternation detector 134 determines an alternation index according to the pixel data. In step S320, the edge calculator 135 determines edge indices according to the edge inclinations of the plurality of pixels. In step S330, the dynamic calculator 138 calculates the current dynamic to determine the dynamic index. Afterwards, in step S340 , the adapter 139 selects the minimum or maximum of the scene change index, the alternation index, the edge index and the dynamic index as the adaptation factor α.

In addition, the adapter 139 can also adjust and determine the adaptation factor α according to the scene change index, the alternation index, the edge index and the dynamic index in sequence. Please refer to FIG. 4 , which shows a flow chart of another example of an adaptation factor adjustment decision according to a preferred embodiment of the present invention. In step S400, the adapter 139 determines whether the scene changes according to the scene change indicator. If yes, the adapter 139 adjusts the adaptation factor α to a low index value in step S405. If not, in step S410 , the adapter 139 determines whether black frames/white frames appear alternately according to the alternation indicator. If yes, the adapter 139 continues to step S405. If not, in step S420 , the adapter 139 determines whether the picture tends to be complex according to the edge index. If yes, the adapter 139 continues to step S405. If not, then in step S430, the adapter 139 determines whether the frame is biased towards a large dynamic amount according to the dynamic index. If yes, the adapter 139 adjusts the adaptation factor α to a high index value in step S440 ; if not, the adapter 139 adjusts the adaptation factor α to an intermediate index value in step S450 .

Since the above-mentioned adaptation unit 130 can analyze at least one image feature of the image block according to the pixel data Data or the current dynamic m_curr, and can adaptively adjust the value of the adaptation factor α according to the analysis result, the dynamics of the present invention The adaptive deinterlacing device 100 can improve the problem of pseudo still (pseudo still) in the picture with many highly moving objects, and can also improve the problem of motion hysteresis (motion hysteresis) in the picture with many stationary objects, so it can Improve overall image quality.

In addition, the present invention also proposes a dynamic adaptive de-interleaving method, which includes the following steps. Multiple current motions of multiple pixels of an image block are calculated. Analyzing at least one image characteristic of the image block and adjusting and determining an adaptation factor accordingly. The current motions are mixed with the previous motions corresponding to the pixels according to the adjusted adaptation factors to obtain multiple mixed motions. A plurality of adjusted mixed dynamics is output according to the mixed dynamics and a dynamic look-up table.

The principle of the above dynamic adaptive de-interleaving method has been described in detail in the dynamic adaptive de-interleaving device 100 and its related content, so it will not be repeated here.

The dynamic adaptive de-interleaving device and method disclosed in the above-mentioned embodiments of the present invention have many advantages, and only some of the advantages are listed below:

The dynamic adaptive de-interlacing device and method of this case analyze the image features of the image block through pixel data or current dynamic analysis, and can adaptively adjust the size of the adaptation factor according to the analysis result, so it can improve the performance of multi-height mobile devices. The problem of false stillness in the picture of objects can also be solved, and the problem of dynamic lag in the picture with many still objects can be improved, so the overall image quality can be improved.

In summary, although the present invention has been disclosed as above with a preferred embodiment, it is not intended to limit the present invention. Those skilled in the art of the present invention can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be defined by the claims.

Claims (13)

1. motion adaptive deinterlacing device comprises:

One detection of dynamic unit, in order to a plurality of pixels of calculating an image block a plurality of current dynamically;

One adaptation unit determines a fitness factors in order at least one characteristics of image and the adjustment according to this of analyzing this image block; And

One dynamic recurrence unit is in order to current dynamically to obtain a plurality of mixing with a plurality of before dynamically having mixed respectively of corresponding those pixels dynamic with those according to adjusted this fitness factors.

2. motion adaptive deinterlacing device as claimed in claim 1 is characterized in that, this image block is a picture frame or a picture field.

3. motion adaptive deinterlacing device as claimed in claim 1 is characterized in that, this adaptation unit comprises:

One scene change detector, in order to the difference of the current pixel data that detect those pixels and previous pixel data to determine a scene change index;

One replaces detector, replaces index in order to determine one according to those pixels;

The one edge calculator obtains a plurality of edges tendency of corresponding those pixels in order to the current pixel Data Detection according to those pixels, and adds up those edge tendencies respectively with decision one edge index;

One dynamic calculation device, current in order to calculate those dynamically to determine a dynamic indicator; And

One adapter in order to according to this scene change index, alternately index, this edge-merit and this fitness factors of this dynamic indicator adjustment decision, and is exported this fitness factors to this dynamic recurrence unit.

4. motion adaptive deinterlacing device as claimed in claim 3 is characterized in that, this fitness factors is adjusted to this scene change index, should replaces reckling or the maximum of index, this edge-merit and this dynamic indicator.

5. motion adaptive deinterlacing device as claimed in claim 3 is characterized in that, this adapter is in regular turn according to this scene change index, alternately index, this edge-merit and this fitness factors of this dynamic indicator adjustment decision.

6. motion adaptive deinterlacing device as claimed in claim 1 is characterized in that, more comprises:

One low pass filter is in order to filter those pixels to remove noise; And

One dynamic storage cell, before dynamic in order to store those.

7. motion adaptive deinterlacing device as claimed in claim 1 is characterized in that, more comprises:

One dynamic look-up table unit mixes dynamically after a dynamic look-up table is exported a plurality of adjustment in order to mix according to those dynamically to reach.

8. motion adaptive deinterlacing method comprises:

Calculate an image block a plurality of pixels a plurality of current dynamically;

Analyze at least one characteristics of image of this image block and adjust according to this and determine a fitness factors; And

Current dynamically to obtain a plurality of mixing with a plurality of before dynamically having mixed respectively of corresponding those pixels dynamic with those according to adjusted this fitness factors.

9. motion adaptive deinterlacing method as claimed in claim 8 is characterized in that, this image block is a picture frame or a picture field.

10. motion adaptive deinterlacing method as claimed in claim 8 is characterized in that, more comprises:

The difference of the current pixel data that detect those pixels and previous pixel data is to determine a scene change index;

Determine one to replace index according to those pixels;

Obtain a plurality of edges tendency of corresponding those pixels according to the current pixel Data Detection of those pixels, and add up those edge tendencies respectively with decision one edge index;

It is current dynamically to determine a dynamic indicator to calculate those; And

According to this scene change index, alternately index, this edge-merit and this fitness factors of this dynamic indicator adjustment decision.

11. motion adaptive deinterlacing method as claimed in claim 10 is characterized in that, more comprises:

Adjusting this fitness factors is this scene change index, the reckling or the maximum that should replace index, this edge-merit and this dynamic indicator.

12. motion adaptive deinterlacing method as claimed in claim 10 is characterized in that, more comprises:

In regular turn according to this scene change index, alternately index, this edge-merit and this fitness factors of this dynamic indicator adjustment decision.

13. motion adaptive deinterlacing method as claimed in claim 8 is characterized in that, more comprises:

Mixing the dynamic a plurality of adjustment of the dynamic look-up table output back that reaches according to those mixes dynamic.

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