Paper
21 April 1995 Psychovisual image coding via an exact discrete Radon transform
Author Affiliations +
Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206765
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
The goal of this paper is to describe a new fully-reversible image transform specifically designed for an efficient (pseudo-critical) coding while preserving a psychovisual Fourier domain description. There is now strong evidence for the presence of directional and angular sensitivity in the cells of the human visual cortex and the representation proposed here has for main objective to respect this human like filter bank. The decomposition is performed using a discrete Radon transform for the angular patches and by splitting each projection with a 1D spline wavelet for the radial part. Consequently, the whole algorithm is performed in the spatial domain. Finally, we show that the transform is both well-suited for psychovisual quantization and channel adapted coding.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeanpierre V. Guedon, Dominique Barba, and Nicole Burger "Psychovisual image coding via an exact discrete Radon transform", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206765
Lens.org Logo
CITATIONS
Cited by 25 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radon transform

Image compression

Quantization

Fourier transforms

Wavelets

Radon

Information visualization

RELATED CONTENT

Optimal wavelet tree pruning for image coding
Proceedings of SPIE (April 17 1995)
Wavelet localized Radon transform
Proceedings of SPIE (September 01 1995)
Subjective rating of picture coding algorithms
Proceedings of SPIE (April 21 1995)
Perceptual coders and perceptual metrics
Proceedings of SPIE (June 08 2001)

Back to Top