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Todd, M. and Wilson, Roland (1988) Image data compression. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
PDF (Department of Computer Science Research Report)
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Abstract
This report describes compression of the bandwidth required to represent digital images using a hierarchical anisotrophic predictive coder. The basic coder algorithm is recursive binary nesting, which involves a recursive segmentation of the image into edge sharing quadrants. Each recursive segmentation quarters the spatial area of the image sections being considered and involves the predictive coding of the corner points of the new sections. The segmentation of a section can be halted at any level, and the remaining pixels within the section determined by an interpolation from the corner points. Because of the anisotrophic nature of images and the importance of oriented lines and edges in visual physiology, an oriented interpolation is introduced at smaller spatial areas in those sections where a single oriented line or edge feature exists. Four quadrature filters are used to estimate the strength and orientation of single local line or edge features for each pixel in the image. A measure of consistent orientation is used within a section to determine whether it contains a single oriented feature. The quantised prediction errors and quantised section orientations are coded using arithmetic entrophy coding, with a dynamic estimation of the probability distribution for each data stream. The results obtained compare favourably with those reported elsewhere. In particular, at low bit rates the reconstructed images generally have a 'painted' look to them.
Item Type: | Report | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image compression | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | University of Warwick. Department of Computer Science | ||||
Official Date: | July 1988 | ||||
Dates: |
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Number: | Number 128 | ||||
DOI: | CS-RR-128 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Reuse Statement (publisher, data, author rights): | M. Todd and R.G. Wilson, “An Anisotropic Multiresolution Image Data Compression Algorithm”, <i>Proceedings of the IEEE Conference on ASSP</i>, Glasgow, 1989, IEEE Computer Society Press (1989) | ||||
Funder: | Science and Engineering Research Council (Great Britain) (SERC), British Telecom (BT) | ||||
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