Video compressed coding method

Abstract

The invention relates to a video compressed coding method. Predicted reference weights of reference pixels in different prediction searching windows are calculated to obtain an optimal prediction residual error of each pixel, an optimal quantified residual error is obtained in an adaptive quantification manner, and thus, the transmission bandwidth after video image coding is reduced greatly, and the compression loss after compressed coding is lower.

Description

technical field

[0001] The invention belongs to the technical field of video compression, and in particular relates to a video compression encoding method. Background technique

[0002] Studies have shown that 70% of the information obtained by humans comes from vision. Visual information plays an important role in multimedia information because of its advantages of intuition, image, accuracy, high efficiency and wide application. But the data size of a digitized uncompressed video signal is staggering. The huge amount of data puts great pressure on the storage capacity of the memory, the channel transmission rate of the communication trunk line, and the speed of the computer. It is unrealistic to solve the above problems simply by expanding the capacity of the compressor and increasing the transmission rate of the communication trunk line . Data compression technology is an effective method. It reduces the amount of information data by means of data compression, and store...

Examples

Embodiment 1

[0037] See figure 1 , figure 1 It is a schematic flowchart of a video compression encoding method provided by an embodiment of the present invention. The method comprises the steps of:

[0038] (a) acquiring images to be processed;

[0039] (b) obtaining pixels to be processed and corresponding multiple prediction search windows;

[0040] (c) respectively obtaining the prediction residuals of the pixels to be processed corresponding to each of the prediction search windows and obtaining an optimal prediction residual;

[0041] (d) using each pixel of the image to be processed as the pixel to be processed, repeating steps (a) to (c), to obtain a prediction residual code stream of the image to be processed;

[0042] (e) dividing the prediction residual code stream into several quantization units;

[0043] (f) obtaining the quantization unit to be processed;

[0044] (g) respectively adopting the quantization compensation mode and the compensation quantization mode to encod...

Embodiment 2

[0048] please refer again figure 1 , the embodiment of the present invention includes all the content of the first embodiment on the basis of the first embodiment above, and describes the video compression encoding method in detail, specifically including:

[0049] Wherein, the predictive search window includes a first predictive search window, a second predictive search window, and a third predictive search window, and the total number of pixels contained in the first predictive search window, the second predictive search window, and the third predictive search window same.

[0050] Wherein, the shapes of the first predictive search window, the second predictive search window, and the third predictive search window are any one of horizontal bar shape, vertical bar shape, or rectangle, respectively.

[0051] Wherein, step (c) comprises:

[0052] (c1) obtaining the predicted search window;

[0053] (c2) Acquiring the prediction reference weight of each reference pixel in the...

Embodiment 3

[0066] This embodiment is based on the foregoing embodiments and includes all the content of Embodiment 1, focusing on a video compression encoding method for detailed description.

[0067] In the video compression coding method, usually include the process of prediction, quantization, entropy coding, this embodiment mainly optimizes the video compression coding method by optimizing the prediction and quantization process, so it is assumed that this embodiment treats it in the order of first predicting and then quantizing The picture is processed for encoding, and the subsequent entropy encoding process may be any entropy encoding method in the prior art.

[0068] Specifically, include the following:

[0069] S10: acquire the image to be processed; acquire a frame of image in the video as the image to be processed;

[0070] S20: Obtain pixels to be processed and corresponding multiple prediction search windows;

[0071] Obtain the pixels to be processed in the image to be pr...

technical field

[0001] The invention belongs to the technical field of video compression, and in particular relates to a video compression encoding method. Background technique

[0002] Studies have shown that 70% of the information obtained by humans comes from vision. Visual information plays an important role in multimedia information because of its advantages of intuition, image, accuracy, high efficiency and wide application. But the data size of a digitized uncompressed video signal is staggering. The huge amount of data puts great pressure on the storage capacity of the memory, the channel transmission rate of the communication trunk line, and the speed of the computer. It is unrealistic to solve the above problems simply by expanding the capacity of the compressor and increasing the transmission rate of the communication trunk line . Data compression technology is an effective method. It reduces the amount of information data by means of data compression, and store...

Examples

Embodiment 1

[0037] See figure 1 , figure 1 It is a schematic flowchart of a video compression encoding method provided by an embodiment of the present invention. The method comprises the steps of:

[0038] (a) acquiring images to be processed;

[0039] (b) obtaining pixels to be processed and corresponding multiple prediction search windows;

[0040] (c) respectively obtaining the prediction residuals of the pixels to be processed corresponding to each of the prediction search windows and obtaining an optimal prediction residual;

[0041] (d) using each pixel of the image to be processed as the pixel to be processed, repeating steps (a) to (c), to obtain a prediction residual code stream of the image to be processed;

[0042] (e) dividing the prediction residual code stream into several quantization units;

[0043] (f) obtaining the quantization unit to be processed;

[0044] (g) respectively adopting the quantization compensation mode and the compensation quantization mode to encod...

Embodiment 2

[0048] please refer again figure 1 , the embodiment of the present invention includes all the content of the first embodiment on the basis of the first embodiment above, and describes the video compression encoding method in detail, specifically including:

[0049] Wherein, the predictive search window includes a first predictive search window, a second predictive search window, and a third predictive search window, and the total number of pixels contained in the first predictive search window, the second predictive search window, and the third predictive search window same.

[0050] Wherein, the shapes of the first predictive search window, the second predictive search window, and the third predictive search window are any one of horizontal bar shape, vertical bar shape, or rectangle, respectively.

[0051] Wherein, step (c) comprises:

[0052] (c1) obtaining the predicted search window;

[0053] (c2) Acquiring the prediction reference weight of each reference pixel in the...

Embodiment 3

[0066] This embodiment is based on the foregoing embodiments and includes all the content of Embodiment 1, focusing on a video compression encoding method for detailed description.

[0067] In the video compression coding method, usually include the process of prediction, quantization, entropy coding, this embodiment mainly optimizes the video compression coding method by optimizing the prediction and quantization process, so it is assumed that this embodiment treats it in the order of first predicting and then quantizing The picture is processed for encoding, and the subsequent entropy encoding process may be any entropy encoding method in the prior art.

[0068] Specifically, include the following:

[0069] S10: acquire the image to be processed; acquire a frame of image in the video as the image to be processed;

[0070] S20: Obtain pixels to be processed and corresponding multiple prediction search windows;

[0071] Obtain the pixels to be processed in the image to be pr...

Images