10 July 2009 A novel image restoration model using ICA and ridgelet transform
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Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74891A (2009) https://doi.org/10.1117/12.836689
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
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Guangming Zhang, Guangming Zhang, Zhiming Cui, Zhiming Cui, } "A novel image restoration model using ICA and ridgelet transform", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74891A (10 July 2009); doi: 10.1117/12.836689; https://doi.org/10.1117/12.836689
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