Abstract / truncated to 115 words (read the full abstract)

The compression of some types of images is a challenge for some standard compression techniques. This thesis investigates the lossless compression of images with specific characteristics, namely simple images, color-indexed images and microarray images. We are interested in the development of complete compression methods and in the study of preprocessing algorithms that could be used together with standard compression methods. The histogram sparseness, a property of simple images, is addressed in this thesis. We developed a preprocessing technique, denoted histogram packing, that explores this property and can be used with standard compression methods for improving significantly their efficiency. Histogram packing and palette reordering algorithms can be used as a preprocessing step for improving the lossless ... toggle 6 keywords

lossless image compression simple images color-indexed images microarray images histogram packing palette reordering

Information

Author
Neves, António J. R.
Institution
University of Aveiro, Dep. of Electronics, Telecomunications and Informatics
Supervisor
Publication Year
2007
Upload Date
Dec. 15, 2008

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