Research Article | Open | Published:
A Comparison of Set Redundancy Compression Techniques
EURASIP Journal on Advances in Signal Processingvolume 2006, Article number: 092734 (2006)
Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. Set redundancy compression (SRC) methods exploit the interimage redundancy and achieve better results than individual image compression techniques when applied to sets of similar images. In this paper, we make a comparative study of SRC methods on sample datasets using various archivers. We also propose a new SRC method and compare it to existing SRC techniques.
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