Image processing methods, equipment and systems

A technology for image processing and image reconstruction, applied in the field of image processing, can solve problems such as blurring, loss of reconstructed image blocks, poor effect of reconstructed image blocks, etc., and achieve the effect of reducing bit overhead and good effect

Active Publication Date: 2019-02-01
HUAWEI TECH CO LTD
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Problems solved by technology

[0006] In the prior art, the encoding end uses down-sampling processing for the entire image. However, the characteristics of each image block included in the entire image may be different. For example, some image blocks may be relatively flat, and the encoding end is suitable for down-sampling processing. ; Some image blocks may have more details, in this case, the downsampling process will lose these details
This will result in poor encoding on the encoding side
Correspondingly, this will cause some reconstructed image blocks obtained by the decoding end to be blurred, that is, the reconstructed image blocks obtained by the decoding end are not good

Method used

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  • Image processing methods, equipment and systems
  • Image processing methods, equipment and systems
  • Image processing methods, equipment and systems

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Embodiment Construction

[0100] Hereinafter, some technical terms in this application are explained to facilitate the understanding of those skilled in the art.

[0101] Digital video is video recorded in digital form. Digital video consists of multiple frames of digital images. Usually the original video includes a large amount of data, which is not suitable for storage and transmission, and it is necessary to use efficient video compression coding technology to compress the original data.

[0102] Video compression technology achieves the purpose of compression by eliminating video redundancy. Video redundancy mainly includes the following items: spatial redundancy, temporal redundancy, visual redundancy and information entropy redundancy.

[0103] Spatial redundancy: It is the most important data redundancy that exists in static images. It means that in an image, the magnitudes of adjacent pixels are relatively similar, and this spatial coherence is called spatial correlation or spatial redundan...

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Abstract

The invention provides image processing methods, equipment and systems. A method comprises the steps of analyzing a bit stream to obtain a first quantization parameter of a current image area in an original resolution coding mode, a second quantization parameter of the current image area in a downsampling coding mode, a coding mode of a current to-be-reconstructed image block of the current imagearea, a quantization coefficient of the current to-be-reconstructed image block and a prediction signal of the current to-be-reconstructed image block, wherein the coding mode of the current to-be-reconstructed image block is the original resolution coding mode or the downsampling coding mode, and the current to-be-reconstructed image block is a part of the current image area; determining the quantization parameter of the current to-be-reconstructed image block according to the coding mode of the current to-be-reconstructed image block; and reconstructing the current to-be-reconstructed imageblock according to the quantization parameter, the quantization coefficient and the prediction signal of the current to-be-reconstructed image block, thereby obtaining a current reconstructed image block. An effect of the reconstructed image obtained by a decoding side is better.

Description

technical field [0001] The present application relates to image processing technologies, and in particular to an image processing method, device and system. Background technique [0002] Digital video is video recorded in digital form. figure 1 Schematic representation of the digital video provided for this application, as figure 1 As shown, digital video consists of multiple frames of digital images. figure 2 Schematic illustrations of digital images provided for this application, such as figure 2 As shown, the image consists of 12*16 pixels, where each pixel is called a pixel, and 12*16 represents the image resolution. For example, the image resolution of 2K video is 1920*1080, and the image resolution of 4K video is 3840*2160. Usually the original video includes a large amount of data, which is not suitable for storage and transmission, and it is necessary to use efficient video compression coding technology to compress the original data. [0003] specifically, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/59H04N19/91
CPCH04N19/124H04N19/59H04N19/91H04N19/103H04N19/132H04N19/126H04N19/159H04N19/176H04N19/198
Inventor 张红杨海涛刘杉
Owner HUAWEI TECH CO LTD
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