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Video coding system based on sparse sampling and texture reconstruction

A video coding and sparse sampling technology, applied in the system field of image processing technology, can solve the problem of lack of very mature technology and the inability to guarantee the temporal consistency of the reconstructed video, and achieve good reconstruction quality, good temporal and spatial consistency, and strong reconstruction. adaptive effect

Active Publication Date: 2010-10-20
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, both of these two technologies need to analyze the input general natural video to determine which content can not be encoded, but there is no very mature technology to achieve related functions under the existing conditions.
In addition, due to the randomness of the reconstruction method, the temporal consistency of the reconstructed video cannot be guaranteed at the decoding end.

Method used

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  • Video coding system based on sparse sampling and texture reconstruction
  • Video coding system based on sparse sampling and texture reconstruction

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Embodiment

[0019] Such as figure 1 As shown, this embodiment includes: an input module, a frame selection module, a first pre-processing module, a codec module, a second pre-processing module, a post-processing module and a sorting output module, wherein: the input module is connected to the frame selection module for transmission For the transmitted video frame, the frame selection module is connected to the first pre-processing module to transmit the selected video frame data, the frame selection module is connected to the codec module to transmit normal frame data, and the first pre-processing module is connected to the codec module to transmit the processed video For frame data, the codec module is connected to the second pre-processing module to transmit the coded video frame data, the codec module is connected to the sorting output module to transmit the normal coded video frame sequence, the second pre-processing module and the post-processing module The filtered normal frame data...

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Abstract

The invention relates to a video coding system based on sparse sampling and texture reconstruction in the filed of image processing technology; the system comprises an input module, a frame selection module, a first pretreatment module, a coder and decoder module, a second pretreatment module, an aftertreatment module and a rank ordering output module; wherein the frame selection module comprises a frame extraction unit and a stacking unit; the pretreatment module comprises a visual sense attention submodule and a non-linear filtering submodule; the aftertreatment module comprises an index creating submodule, a searching submodule and a reconstruction submodule; in the invention, the coding efficiency is greatly improved, 20 percent of the highest coding gain can be obtained on the H.264 coding standard; the system has strong adaptability, good space-time consistency and good reconstruction quality, the coding efficiency can be improved under the condition of not reducing the video subjective effect.

Description

technical field [0001] The present invention relates to a system in the technical field of image processing, in particular to a video coding system based on sparse sampling and texture reconstruction. Background technique [0002] Video coding technology is crucial for applications such as video storage and transmission. The new generation of international video coding standard H.264 is still using the classic mode of block motion compensation + DCT + quantization + entropy coding. Compared with H.263, the 50% gain obtained mostly comes from the enhancement of details, and the related technology Development has reached a bottleneck period. In order to further improve the efficiency of video coding, some technologies outside the field of signal processing are introduced. One of the solutions is to artificially simplify the original video that needs to be compressed, and then use some methods of computer vision and graphics to repair the incomplete data. . [0003] Through ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N19/117H04N19/85
Inventor 熊红凯袁喆
Owner SHANGHAI JIAO TONG UNIV
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