Pure three-dimension full phase filtering method

Abstract

The invention belongs to three-dimensional image processing technology, to provide a pure 3D All Phase filtering method, the method based on all phase half-band filter, format and upgrade five space for extraction and interpolation to achieve, can be achieved on the three-dimensional digital signal pure 3D subband decomposition, the decomposition of every level of spatial frequency domain 3D for the pure low-frequency and high-frequency two-three-dimensional subband through prediction operator and update Operator rotation interpolation filter can be achieved on the three-dimensional digital signal pure 3D multi-level subband decomposition. The advantage is that this method is completely redeveloped, pure three-dimensional subband decomposition more suitable for human visual characteristics.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional image processing, and in particular relates to a three-dimensional digital signal filtering method. Background technique [0002] At present, the international coding standards JPEG and MPEG2 for still images and video images, MPEG4-AVC (H.264) and my country's video coding standard AVS all use discrete cosine transform (DCT) as the core technology for removing spatial correlation. Processing characteristics, resulting in the block effect of the decompressed image or video image, which is an inherent defect of the coding scheme with DCT transform as the core technology. The static image and video coding with wavelet transform as the core technology can effectively solve the block effect. For example, the international standard JPEG2000 for static image coding far exceeds the JPEG standard in terms of compression rate and image quality restoration. Among the new generation of scalable vid...

AI Technical Summary

Problems solved by technology

The three-dimensional wavelet transform in the proposal is a separable three-dimensional wavelet transform constructed by tensor product, that is, one-dimensional wavelet transform is performed on the time dimension, spatial row and spatial column respectively. Although the advantages of one-dimensional wavelet transform in terms of computation are maintained, It leads to a serious defect, the subband decomposition is contrary to the characteristics of human vision, which is extremely unfavorable to the encoding

In fact, it is more reasonable to use a pure three-dimensional method to process three-dimensional signals, and the subband decomposition of a pure three-dimensional filter bank converted from a one-dimensional filter bank or a pure two-dimensional filter bank by a transformation method is still inconsistent with human visual characteristics

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