Abstract
We form a multiresolution vector quantization (MVQ) codebook for progressive transmission using principal components partitioning of a full search VQ codebook [8, 4]. Down-sized intermediate codewords provide fast reconstruction of coarse images appropriate for browsing satellite image databases in an X-Window environment. Browse images can be expanded in size and improved in quality progressively. Any single band of a Landsat image has very low contrast, but contrast enhancement by global histogram equalization produces a visually informative image. When VQ codebook design incorporates contrast enhancement of the codebook to produce the decoder, the VQ requires no additional operations to produce a contrast enhanced final image [2]. We adapt this technique for better performance in our multiresolution scheme by first designing the decoder codebook from a contrast enhanced training set. Using our inverse technique, reverse mapping, we then derive the encoder from the decoder. Thus the decoder is optimized for the contrast enhanced image, a necessity for expansion into our multiresolution decoder.
Original language | English |
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Pages (from-to) | 2303-2306 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 4 |
State | Published - 1995 |
Event | Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Duration: 9 May 1995 → 12 May 1995 |