7 March 2013 Image vector quantization using geometric transform and lossless index coding
Yu-Chen Hu, Chia-Hsien Wen, Chun-Chi Lo, Wu-Lin Chen
Author Affiliations +
Abstract
We propose an efficient image-coding scheme based on vector quantization (VQ). Typically, image qualities of the compressed images by using VQ are restricted by the codebook used. To provide better image qualities of the compressed images while keeping low bit rates, encoding the geometric transformed image block is associated with VQ. To cut down the bit rates, the index table is further processed by the lossless index coding process. According to the results, it is shown that the proposed scheme achieves better image qualities than VQ while keeping low bit rates.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Yu-Chen Hu, Chia-Hsien Wen, Chun-Chi Lo, and Wu-Lin Chen "Image vector quantization using geometric transform and lossless index coding," Optical Engineering 52(3), 037402 (7 March 2013). https://doi.org/10.1117/1.OE.52.3.037402
Published: 7 March 2013
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image compression

Image quality

Computer programming

Image processing

Quantization

Optical engineering

Image restoration

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