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Rapid binocular stereo-video fractal compressing and uncompressing method

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

Inactive Publication Date: 2014-03-05
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But compared with monocular video, binocular stereoscopic video system must transmit and store twice the amount of data, so it must be effectively compressed

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  • Rapid binocular stereo-video fractal compressing and uncompressing method
  • Rapid binocular stereo-video fractal compressing and uncompressing method
  • Rapid binocular stereo-video fractal compressing and uncompressing method

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Embodiment Construction

[0116] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. Only the brightness component Y is taken as an example, and the compression steps of the color difference components U and V are the same as the brightness components.

[0117] The present invention proposes a 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. First, the starting frame of the left object is used Block DCT transform coding, perform block motion estimation / compensation coding on the left-purpose non-I frame, calculate the pixel sum and pixel square sum of the sub-block related to the sub-block domain and the parent block domain, and calculate the pixel sum of the corresponding block of the fractional pixel interpolation value , pixel square sum, and then judge the pre-...

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Abstract

The invention relates to a rapid binocular stereo-video fractal compressing and uncompressing method. In coding, a left channel is taken as a basic layer, and a single motion compensation prediction method (MCP) is adopted to carry out coding. Firstly, codes of a start frame of the left eye are converted by a discrete cosine transform (DCT) block, motion estimation / compensation coding is carried out to a non-I frame of the left eye, the pixel sum of sub-blocks related to a sub-block region and a father block region and the quadratic sum of pixels are calculated, the pixel sum and the pixel quadratic sum of an interpolation corresponding block in a fraction pixel are calculated at the same time, the pre-search limiting conditions are then judged, and the most similar matching block is searched by utilizing fraction pixel block matching and an adaptive hexagon search algorithm based on a motion vector field in a former frame searching window. A right channel is an enhancement layer, and is coded by adopting MCP and a disparity compensated prediction (DCP) method, and a result with minimum error is chosen as a prediction result. At the time of carrying out a DCP coding mode, fraction pixel block matching and parallax distribution constraint conditions are fully utilized. In the coding process, de-blocking loop filters are utilized for decoding.

Description

technical field [0001] The invention belongs to the field of video compression coding, and relates to the compression coding of binocular stereoscopic video. Under the premise of ensuring that the peak signal-to-noise ratio (PSNR) remains basically unchanged, it greatly reduces the computational complexity and improves the compression ratio, and provides binocular stereoscopic video coding. It lays the foundation for the real-time application of fractal video and further improves the performance of fractal video compression coding. Background technique [0002] The fractal theory was first proposed by Mandelbrot in the 1970s (see B. Mandelbrot. The Fractal Geometry of Nature [M]. New York: W.H. Freeman and Company, 1982.). The mathematical basis of fractal coding is the iterative function system (IFS) theory. Barnsley first used fractal coding for interactive image compression (see Michael F. Barnsley, Alan D. Sloan. A better way to compress image [J]. Byte Magazine, 1988...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/597H04N19/51H04N19/625H04N19/122H04N19/176H04N13/00
Inventor 祝世平陈菊嫱侯仰拴王再阔
Owner BEIHANG UNIV
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