Perceptually lossless medical image coding

IEEE Transactions on Medical Imaging
David WuHong Ren Wu

Abstract

A novel perceptually lossless coder is presented for the compression of medical images. Built on the JPEG 2000 coding framework, the heart of the proposed coder is a visual pruning function, embedded with an advanced human vision model to identify and to remove visually insignificant/irrelevant information. The proposed coder offers the advantages of simplicity and modularity with bit-stream compliance. Current results have shown superior compression ratio gains over that of its information lossless counterparts without any visible distortion. In addition, a case study consisting of 31 medical experts has shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.

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Citations

Jul 16, 2009·Journal of Digital Imaging·Bradley J EricksonKatherine P Andriole
Mar 16, 2011·Journal of Medical Engineering & Technology·B KumarA Anand
Sep 6, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Han OhMichael W Marcellin
Jul 28, 2017·Information·Han OhMichael Marcellin
Apr 24, 2020·Current Medical Imaging·Caren Babu, D Abraham Chandy

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