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- 092734.pdf accessdate "2012-09-28".
- 092734.pdf date "2005-02-27".
- 092734.pdf first1 "Samy".
- 092734.pdf first2 "Abdelhalim".
- 092734.pdf isCitedBy Set_redundancy_compression.
- 092734.pdf last1 "Ait-Aoudia".
- 092734.pdf last2 "Gabis".
- 092734.pdf quote "Medical imaging applications produce a huge amount of similar images. Storing such amount of data needs gigantic disk space. Thus a compression technique is necessary to reduce space storage. In addition, medical images must be stored without any loss of information since the fidelity of images is critical in diagnosis. This requires lossless compression techniques. Lossless compression is an error-free compression. The decompressed image is the same as the original image. Classical image compression techniques concentrate on how to reduce the redundancies presented in an individual image. These compression techniques use the same model of compression as shown in Figure 1. Thismodel ignores an additional type of redundancy that exists in sets of similar images, the “set redundancy.” The term “set redundancy” was introduced for the first time by Karadimitriou [6] and defined as follows: “Set redundancy is the interimage redundancy that exists in a set of similar images, and refers to the common information found in more than one image in the set.".
- 092734.pdf title "A Comparison of Set Redundancy Compression Techniques".
- 092734.pdf url "http://downloads.hindawi.com/journals/asp/2006/092734.pdf".