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Proceedings Paper

Subband texture synthesis for image coding
Author(s): Song Yee Yoon; Edward H. Adelson
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Paper Abstract

Large regions of many images are filled with visual texture, in which a viewer is not concerned with the exact pixel values. In image coding, it is advantageous to describe such regions in terms of their boundaries and textural properties. A textural description can be much more compact than a precise description of pixel values. For a coding system to work, it is necessary to have an automated method for generating compact texture descriptions; the synthesized textures must appear satisfying to the human viewer. We have adapted the Heeger and Bergen algorithms to the coding problem. The algorithm decomposes an image into subbands with a steerable pyramid, and characterizes the texture in terms of the subband histograms and the pixel histogram. Since the subband histograms all have a similar form, we can describe each one with a low-order parametric model. The resulting textural descriptor is quite compact. We show examples with both still images and video sequences.

Paper Details

Date Published: 17 July 1998
PDF: 9 pages
Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); doi: 10.1117/12.320141
Show Author Affiliations
Song Yee Yoon, Massachusetts Institute of Technology (United States)
Edward H. Adelson, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3299:
Human Vision and Electronic Imaging III
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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