An Object-Based Fast Binocular Stereo Video Fractal Compression and Decompression Method

A binocular stereoscopic and fractal compression technology, applied in stereoscopic systems, digital video signal modification, television, etc.

Inactive Publication Date: 2011-11-30
BEIHANG UNIV
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But compared with monocular video, binocular stereoscopic video system must tr

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  • An Object-Based Fast Binocular Stereo Video Fractal Compression and Decompression Method
  • An Object-Based Fast Binocular Stereo Video Fractal Compression and Decompression Method
  • An Object-Based Fast Binocular Stereo Video Fractal Compression and Decompression Method

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Embodiment Construction

[0131] The method of the present invention will be further described in detail below with reference to the accompanying drawings, only taking the luminance component Y as an example, the compression steps of the color difference components U and V are the same as those of the luminance component.

[0132] The invention proposes an object-based fast binocular stereoscopic video fractal compression and decompression method. In encoding, the left channel is used as the basic layer, and a separate motion compensation prediction method (MCP) is used for encoding. The frame adopts block DCT transform coding, performs block motion estimation / compensation coding on the left target non-I frame, calculates the pixel sum and pixel square sum of the sub-blocks related to the sub-block domain and the parent block domain, and calculates the fractional pixel interpolation corresponding to the block. Pixel sum, pixel square sum, and then judge the pre-search constraints, and use fractional pix...

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Abstract

The invention provides a quick fractal compression and decompression method for a binocular stereo video based on an object. In coding, a left path is used as a basic layer to code in an MCP (motion compensation prediction) mode; a video splitting method is used to obtain a video object splitting plane, i.e. an Alpha plane; a left-eye starting frame is coded by DCT (discrete cosine transformation); a non I frame is subjected to motion estimation/ compensation coding to calculate the pixel sum and the pixel quadratic sum of sub blocks relevant to a sub block region and a father block region; the pixel sum and the pixel quadratic sum of the interpolated value corresponding block of a subpixel are calculated; preview search limiting condition judgment is carried out; the most similar matching block in a previous frame of search window is found by an unsymmetrical cross-shaped multi-level hexagon lattice point search algorithm matched and improved by a subpixel block; a right path is an enhanced layer and is coded by an MCP+DCP (disparity compensated predication) mode; and the result with the minimum error is selected as a prediction result. During DCP coding, conditions are restricted by disparity distribution. In the decoding process, the step of filtering is carried out with a deblocking loop method.

Description

technical field [0001] The invention belongs to the field of video compression coding, relates to the compression coding of binocular stereoscopic video, and particularly relates to a video compression coding method based on objects and fractals. On the premise that the peak signal-to-noise ratio (PSNR) remains basically unchanged, the computational complexity is greatly reduced and the compression ratio is improved, laying a foundation for the real-time application of binocular stereoscopic video coding, and further improving the performance of fractal video compression coding . Background technique [0002] The concept of Object-Based (OB) coding was first proposed by the MPEG-4 standard. Using the object-based video compression coding method enables the foreground objects and background objects of each frame of video to be coded independently, which can further improve the compression. At the same time, some new functions can be realized at the decoding end, such as inde...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N13/00H04N19/597
Inventor 祝世平陈菊嫱王再阔侯仰拴
Owner BEIHANG UNIV
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