Abstract
Application areas such as medical imaging or satellite imaging often store large collections of similar images. Lossless compression techniques are usually needed in such critical applications. Previous researches have introduced centroid method, which gets benefit from inter-image redundancy the set redundancy. In this paper a new algorithm is proposed as an extension of centroid method. Experimental results with a set of CT brain images demonstrate efficiency and superiority of proposed algorithm in respect to compression ratio
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