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COMPRESSIVE SENSING-BASED QUALITY-SCALABLE FAST CODING METHOD

机译:基于压缩感知的质量可缩放快速编码方法

摘要

Disclosed in the present invention is a compressive sensing-based quality-scalable fast coding method, belonging to the technical field of video coding. In the method of the present invention, the sparsity of the compressive sensing theory is used to perform, when a quality-scalable enhancement layer is coded, sparse representation on sub-blocks with the size of a residual block being 8x8, and during coding, in order to satisfy a standard coding structure, it is proposed to perform a zero-fill operation and then entropy coding. The present invention also uses the inter-layer correlation between a base layer and an enforcement layer to select a sub-block coding mode quickly, so as to reduce the computation complexity of the coding algorithm. Compared with the prior art, while guaranteeing the quality of the coded image, the method of the present invention can effectively reduce the code rate of a coding end and improve the coding efficiency of the coder.
机译:本发明公开了一种基于压缩感知的质量可缩放快速编码方法,属于视频编码技术领域。在本发明的方法中,压缩感测理论的稀疏性用于在对质量可缩放的增强层进行编码时,在剩余块大小为8x8的子块上执行稀疏表示,并且在编码过程中,为了满足标准的编码结构,提出了执行零填充操作,然后进行熵编码。本发明还利用基础层与执行层之间的层间相关性,快速选择子块编码方式,以降低编码算法的计算复杂度。与现有技术相比,本发明的方法在保证编码图像质量的同时,可以有效降低编码端的编码率,提高编码器的编码效率。

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