標題: The single-pass perceptual embedded zero-tree coding implementation on DSP
作者: Wu, Bing-Fei
Huang, Hao-Yu
Chen, Yen-Lin
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Block-edge classification;Discrete cosine transform (DCT);Embedded system;Fast algorithm;Image compression;Zero-tree coding
公開日期: 1-九月-2012
摘要: This paper proposes a block-edge-based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method. SPPEZC combines two novel compression concepts, called Block-Edge Detection (BED) and the Low-Complexity and Low-Memory Entropy Coder (LLEC), for coding efficiency and quality. Because the edge information can provide beneficial cues for preserving the perceptual quality of compressed images, this paper presents an effective combinative coding scheme, called Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC), which integrates the improved LLEC and the block-edge information. This approach provides improved perceptual quality in compressed images. Based on the block-edge information, this paper proposes an adaptive architecture for adjusting the quantization table and subsequently coding the quantized coefficients with the LLEC. The proposed SPPEZC approach was implemented and evaluated on both PC-based and DSP-based embedded platforms. Experimental results and comparisons demonstrate that the proposed SPPEZC technique provides computational efficiency as well as satisfactory perceptual quality in compressed images. (C) 2012 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.camwa.2012.03.032
http://hdl.handle.net/11536/16857
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2012.03.032
期刊: COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume: 64
Issue: 5
起始頁: 1140
結束頁: 1152
顯示於類別:期刊論文


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  1. 000309081500046.pdf