Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9362
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dc.contributor.authorSharma, Urvashi-
dc.contributor.authorSood, Meenakshi-
dc.contributor.authorPuthooran, Emjee-
dc.date.accessioned2023-01-23T10:26:31Z-
dc.date.available2023-01-23T10:26:31Z-
dc.date.issued2018-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9362-
dc.description.abstractThe proposed block-based lossless coding technique presented in this paper targets at compression of volumetric medical images of 8-bit and 16-bit depth. The novelty of the proposed technique lies in its ability of threshold selection for prediction and optimal block size for encoding. A resolution independent gradient edge detector is used along with the block adaptive arithmetic encoding algorithm with extensive experimental tests to find a universal threshold value and optimal block size independent of image resolution and modality. Performance of the proposed technique is demonstrated and compared with benchmark lossless compression algorithms. BPP values obtained from the proposed algorithm show that it is capable of effective reduction of inter-pixel and coding redundancy. In terms of coding efficiency, the proposed technique for volumetric medical images outperforms CALIC and JPEG-LS by 0.70 % and 4.62 %, respectively.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectAdaptive encodingen_US
dc.subjectlossless compressionen_US
dc.subjectResolution independent gradient edge detector,en_US
dc.subjectVolumetric data compressionen_US
dc.titleLossless Compression of Medical Image Sequences Using a Resolution Independent Predictor and Block Adaptive Encodingen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



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