Intra-frame predictive encoding method based on image value interposing

An intra-frame predictive coding and image technology, applied in the field of computer vision, can solve problems such as increased computational complexity, achieve reduced computational overhead, good results, and avoid blind searches

Inactive Publication Date: 2009-03-18
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology

This nearly exhaustive prediction point search method has improved the image quality, but at the same time, the computational complexity has also risen sharply.
At the same time, if the correlation between adjacent points of the image is poor, this kind of prediction will not only reduce the amount of image data, but also introduce more redundant information due to factors such as recording mode information

Method used

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  • Intra-frame predictive encoding method based on image value interposing
  • Intra-frame predictive encoding method based on image value interposing
  • Intra-frame predictive encoding method based on image value interposing

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Embodiment Construction

[0020] As mentioned above, in order to solve the problem that the prediction effect is determined by the image characteristics, the present invention starts from "structuring similar points", constructs similar points from predicted points, directly determines the position of similar points, avoids blind search, and realizes fast and accurate Intra prediction.

[0021] The implementation mode of the present invention is described below in conjunction with accompanying drawing, figure 1 The process of the present invention is explicitly shown in . First, according to the scanning order, down-sampling is performed at equal intervals, the image is divided into multiple sub-images of equal size, and these sub-images are used as basic prediction units; one of the sub-images is encoded to obtain the reconstructed image of the sub-image; The reconstructed image is interpolated to obtain a prediction reference image with the same size as the input image, and the remaining sub-images ...

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Abstract

This invention provides an intra-frame prediction coding method based on image interpolation, comprising following steps: cutting input images into a plurality of sub-images; configuring a prediction reference frame through the interpolation operation; processing difference coding with the reference frame by using sub-image as a basic prediction unit, thereby avoiding the prediction process of per-pixel multi-mode of the traditional method. The inter-frame prediction using this invention is capable of greatly reducing the calculation load and has higher prediction precision; in addition, this method can be combined with other coding method so as to obtain better compressing effect. It has been found that the method is capable of obtaining better prediction effect when greatly reducing the calculation cost.

Description

technical field [0001] The invention relates to an intra-frame predictive coding method, in particular to a method for avoiding calculation overhead during exhaustive search and improving the accuracy of intra-frame prediction, and belongs to the technical field of computer vision. Background technique [0002] As a key technology in the field of video processing, intra prediction has been widely used in the compression and processing of I frames in video. Intra prediction is used to obtain correlations within the current image. The currently commonly used multi-mode intra prediction method in intra prediction is based on the spatial correlation characteristics of the image. It is considered that each point on the image has similarity with its spatial adjacent points, and the prediction point of the point to be encoded is obtained by searching in multiple directions. Although the method has the advantages of wide application range and high prediction accuracy, the computati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/32H04N19/132H04N19/59H04N19/593
Inventor 姚春莲高丽华陈谊
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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