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Proceedings Paper

A novel image restoration model using ICA and ridgelet transform
Author(s): Guangming Zhang; Zhiming Cui
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Paper Abstract

Ridgelet transform as a time-frequency and multiresolution analysis tool is more powerful than wavelet analysis in the signal and image processing domain, especially in image restoration. Due to the difficulty to appraise the sorts of noise produced by optical imaging equipments inevitably, this paper use independent component analysis to separate the independent signals from overlapping signals. Then ridgelet transform were applied to decompose it, and use a new thresholding de-noising approach to remove noise. At last, we reconstructed the image to obtain a restoration image. By contrast, the efficiency of our method is better than other traditional filtering approaches.

Paper Details

Date Published: 10 July 2009
PDF: 8 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74891A (10 July 2009); doi: 10.1117/12.836689
Show Author Affiliations
Guangming Zhang, Soochow Univ. (China)
Zhiming Cui, Soochow Univ. (China)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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