Color image compression using quantization, thresholding, and edge detection techniques all based on the moment-preserving principle

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題名:	Color image compression using quantization, thresholding, and edge detection techniques all based on the moment-preserving principle
作者:	C. K. Yang;W. H. Tsai
貢獻者:	Department of Information Communication
關鍵詞:	Color image compression;Color quantization;Bit-map;Moment-preserving principle
日期:	1998-02
上傳時間:	2009-11-25 02:31:07 (UTC+0)
出版者:	Asia University
摘要:	A new approach to color image compression with high compression ratios and good quality of reconstructed images using quantization, thresholding, and edge detection all based on the moment-preserving principle is proposed. An input image with 24 bits per pixel is quantized into 8 bits per pixel using a new color quantization method based on the moment-preserving principle. The quantized image is then divided into Full-size image non-overlapping square blocks. Two representative colors for each block are computed by moment-preserving thresholding. A bit-map is then generated, consisting of 0s and 1s indicating whether the block pixels are assigned to the first color or the second according to the Euclidean distance measure. A moment-based edge detector is performed further on the bit-map of each non-uniform block. The two parameters Full-size image and Full-size image of a line edge with the equation of Full-size image are obtained. The image is finally coded with a codebook of a 256-color palette; a 1-bit indicator for each block which specifies whether the block is uniform or not; an 8-bit color index for a uniform block, or two 8-bit color indices, a 3-bit index for Full-size image , and a 2-bit or 3-bit index for Full-size image for a non-uniform block. An average compression ratio of 22.49 or 33.32 can be obtained for Full-size image or Full-size image image blocks, respectively. Experimental results show the feasibility and efficiency of the proposed approach for color image compression.
關聯:	Pattern Recognition Letter 19 (2): 205-215
顯示於類別:	[資訊傳播學系] 期刊論文

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