Paper
13 October 1987 The Importance Of Spatial Frequency And Orientation In Image Decomposition And Coding
E. Shlomot, Y. Y. Zeevi, W. A. Pearlman
Author Affiliations +
Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976499
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States
Abstract
A scheme is proposed for image decomposition into components having spatial frequency band and orientation selectivity characteristic of the visual system. The Hexagonal-discrete-Fourier-transform (HDFT) of an hexagonally sampled image is partitioned into 36 bands, each of one octave and 30 degrees of angular orientation. Computational results of such image decomposition exhibit self-similarity of edge distribution, along the pyramidal structure of the spatial frequency components, in each of the six orientations. A combination of coding scheme, which reduces the apparent redundancy, and efficient bit reallocation procedure achieves good image reconstruction with data transmission rate of about 1.0 bits/pixel.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Shlomot, Y. Y. Zeevi, and W. A. Pearlman "The Importance Of Spatial Frequency And Orientation In Image Decomposition And Coding", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976499
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Cited by 14 scholarly publications.
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KEYWORDS
Image compression

Image processing

Spatial frequencies

Signal to noise ratio

Visual communications

Data transmission

Image transmission

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