
Proceedings Paper
Multiscale image coderFormat | Member Price | Non-Member Price |
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Paper Abstract
We consider an image coder that uses a multiscale decomposition. An image is first whitened, and then decomposed into subimages using a wavelet decomposition. A bit allocation algorithm is employed that assigns various rates to the subimages according to the power spectral density of the original image. Based on the bit assignments, scalar quantizers are used for encoding the coefficients. To improve the performance of this coder, we consider a bit allocation procedure that takes the response of the human visual system into account. Finally, we introduce a spatial partition on top of the multiscale decomposition, resulting in a substantial improvement to the image quality.
Paper Details
Date Published: 19 May 1992
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58312
Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58312
Show Author Affiliations
Ping Wah Wong, Clarkson Univ. (United States)
Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)
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