ICIP 2006, Atlanta, GA

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Paper Detail

Session:Image Coding
Time:Tuesday, October 10, 11:40 - 12:00
Presentation: Lecture
Topic: Image & Video Coding: Lossy image coding
Authors: Agnieszka Miguel; Seattle University 
 Jenny Liu; University of Washington 
 Dane Barney; University of Washington 
 Richard Ladner; University of Washington 
 Eve Riskin; University of Washington 
Abstract: Algorithms for near-lossless compression of hyperspectral images are presented. They guarantee that the intensity of any pixel in the decompressed image(s) differs from its original value by no more than a user-specified quantity. To reduce the bit rate required to code images while providing significantly more compression than lossless algorithms, linear prediction between the bands is used. Each band is predicted by a previously transmitted band. The prediction is subtracted from the original band, and the residual is compressed with a bit plane coder which uses context-based adaptive binary arithmetic coding. To find the best prediction algorithm, the impact of various band orderings and optimization techniques on the compression ratios is studied.