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Slant Transform Image Coding

Pratt, W., Wen-Hsiung Chen, Welch, L.·1974·IEEE Transactions on Communications

Abstract

A new unitary transform called the slant transform, specifically designed for image coding, has been developed. The transformation possesses a discrete sawtoothlike basis vector which efficiently represents linear brightness variations along an image line. A fast computational algorithm has been found for the transformation. The slant transformation has been utilized in several transform image-coding systems for monochrome and color images. Computer simulation results indicate that good quality coding can be accomplished with about 1 to 2 bits/pixel for monochrome images and 2 to 3 bits/pixel for color images.

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Metadata

Authors
Pratt, W., Chen, W.-H., & Welch, L.
Venue
IEEE Transactions on Communications
Published
1974-08
Volume
22
Issue
8
Pages
1075-1093
ISSN
  • 0090-6778 (ISSN-L)
  • 1558-0857
OpenAlex
W2142930126
Cited by
217
References
0
FWCI
21.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Slant Transform Image Coding. https://app.cochat.ai/papers/10.1109/tcom.1974.1092335
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Pratt, W., Chen, W.-H., & Welch, L. (1974). Slant Transform Image Coding. IEEE Transactions on Communications. https://doi.org/10.1109/tcom.1974.1092335

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.