John R. Smith, Shih-Fu Chang. Joint Adaptive Space and Frequency Basis Selection. In IEEE International Conference on Image Processing (ICIP), Santa Barbara, CA, October 1997.
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We develop a new method for building a representation of an image from a library of basis elements that is facilitated by a joint adaptive space and frequency (JASF) graph. The JASF graph combines partitionable frequency expansion and spatial segmentation of the image, symmetrically. We demonstrate by using a rate-distortion framework for basis selection that the JASF graph improves compression performance over recent wavelet packet and double-tree methods by offering exponentially more bases in which to represent the images
@InProceedings{dvmmPub118,
Author = {Smith, John R. and Chang, Shih-Fu},
Title = {Joint Adaptive Space and Frequency Basis Selection},
BookTitle = {IEEE International Conference on Image Processing (ICIP)},
Address = {Santa Barbara, CA},
Month = {October},
Year = {1997}
}
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