ICIP 2006, Atlanta, GA

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Paper Detail

Session:Lossless Image Coding
Time:Wednesday, October 11, 09:40 - 10:00
Presentation: Lecture
Topic: Image & Video Coding: Lossless image coding
Authors: Jacob Scharcanski; Universidade Federal do Rio Grande do Sul 
Abstract: In this paper, a method for lossless and near lossless compression of large digital mammograms is proposed. This method is based on a predictive coder that uses integer-to-integer operations, and generates a two-layer embedded bit stream (i.e. near-lossless and refinement layer). The maximum tolerated pixel distortion is guaranteed in the near lossless component. Comparisons with other proposed approaches are based on a database of high-resolution 12 bits/pixel digital mammograms. The simulation results indicate that our lossless compression method can offer average bit rates 39,5%, 24%, 7% and 2,5% better than PNG, JPEG 2000, JPEG-lossless, and LOCO, respectively. Besides, for the same images, the proposed method offers near lossless compression at relatively low computational cost, providing an average bit rate of 2,57 bits/pixel and PSNR of 47,77 dB.