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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Perceptually and Statistically Decorrelated Features for Image Representation: Application to Transform Coding
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Jesús Malo, Universitat de Val?ncia
Francesc Ferri, Universitat de Val?ncia
Rafael Navarro, Instituto de ?ptica (CSIC)
Roberto Valerio, Instituto de ?ptica (CSIC)
Transform coding consists of a scalar quantization of the features of an image representation. These features should be independent enough to justify the scalar approach. The coefficients of the commonly used DCT representation still show some dependence that may reduce its efficiency. In this work, a perceptually inspired non-linear transform is used to map the DCT into a new representation that largely reduces the statistical and perceptual relations between the coefficients thus improving the compression performance 1.
Citation:
Jesús Malo, Francesc Ferri, Rafael Navarro, Roberto Valerio, "Perceptually and Statistically Decorrelated Features for Image Representation: Application to Transform Coding," icpr, vol. 3, pp.3242, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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