1 January 2002 Evaluation of algorithms for lossless compression of continuous-tone images
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Lossless image compression algorithms for continuoustone images have received a great deal of attention in recent years. However, reports on benchmarking their performance have been limited. In this paper, we present a comparative study of the following algorithms: UNIX compress, gzip, LZW, Group 3, Group 4, JBIG, old lossless JPEG, JPEG-LS based on LOCO, CALIC, FELICS, S1P transform, and PNG. The test images consist of two sets of eight bits/pixel continuous-tone images: one set contains nine pictorial images, and another set contains eight document images, obtained from the standard set of CCITT images that were scanned and printed using eight bits/pixel at 200 dpi. In cases where the algorithm under consideration could only be applied to binary data, the bitplanes of the gray scale image were decomposed, with and without Gray encoding, and the compression was applied to individual bit planes. The results show that the best compression is obtained using the CALIC and JPEG–LS algorithms.
©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
Andreas E. Savakis "Evaluation of algorithms for lossless compression of continuous-tone images," Journal of Electronic Imaging 11(1), (1 January 2002). https://doi.org/10.1117/1.1426076
Published: 1 January 2002
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Cited by 7 scholarly publications and 1 patent.
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KEYWORDS
Image compression

Computer programming

Image processing

Algorithm development

Data modeling

Image quality standards

Binary data

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