Paper
30 October 1997 Image analysis by basis pursuit
Rodrigo Montufar-Chaveznava, Francisco Garcia-Ugalde
Author Affiliations +
Abstract
This paper presents an image analysis by basis pursuit, such analysis, depending the dictionary employed, can provide an image multi-scale edge representation such as the Mallat and Hwang's representation. When a stationary dictionary is employed while processing images by basis pursuit, the coefficients selected from the dictionary can characterize very well the most important image features, because of this well characterization we obtain directly an image edge representation from the coefficients selected. According to the results presented in this paper, we can say processing images by basis pursuit provides a new alternative to multi-scale image edge detection which should be exploited and expanded to other image processing applications such as image compression, de-noising, segmentation, image enhancement or image interpretation.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rodrigo Montufar-Chaveznava and Francisco Garcia-Ugalde "Image analysis by basis pursuit", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.279574
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Image analysis

Image compression

Image enhancement

Image segmentation

Associative arrays

Edge detection

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