JOURNAL ARTICLE

<title>Symmetry-based image coding</title>

P. CicconiRiccardo LeonardiM. Kunt

Year: 1992 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1818 Pages: 1312-1323   Publisher: SPIE

Abstract

A novel coding technique which proposes the use of symmetry to reduce redundancy in images is presented. Axes of symmetry are extracted using the Principal Axes of Inertia theory and the technique is extended to non-symmetric images by the introduction of a Coefficient of Symmetry. One part of the images is then linearly predicted with respect to the chosen axis. The method is implemented in a block-based fashion in order to adapt to local symmetries on the image data. An image representation and a coding strategy is illustrated, and results are presented on real static images.

Keywords:
Computer science Coding (social sciences) Symmetry (geometry) Homogeneous space Redundancy (engineering) Artificial intelligence Principal axis theorem Computer vision Algorithm Mathematics Geometry

Metrics

4
Cited By
0.55
FWCI (Field Weighted Citation Impact)
7
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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