Satellite image compression using run-length encoding and huffman encoding techniques

Loy, Soo Ling (2013) Satellite image compression using run-length encoding and huffman encoding techniques. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The research is about satellite image compression when using different techniques to compress the image information. The research is focuses on the lossless compression with the two different techniques: Run-Length Encoding and Huffman Encoding. As image compression is one of the applications that widely used nowadays, example like CCTV. Thus the research is necessary to know the how the compression work and which of the techniques can produce the better output after compress the satellite image. Other than that, the research will give us to compare between the two different techniques so that it will give the user convenient to know which is best for the image compression. The research is carried out using Matlab R2009a and the research take about 6 month to finish it. At the end of this research, the result will show which techniques will produce the better output after compress.

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