Paper
30 October 2009 Study on the image noise reduction based on ridgelet transform
Yu He, Shuai Xing
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951V (2009) https://doi.org/10.1117/12.832933
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The noise reduction of the image is an important sector in the field of image processing, this paper study a algorithm on image noise reduction based on ridgelet transform - Finite Ridgelet Transform (FRIT).The result that some experiment we do shows that the FRIT can reduce the noise in the image effectively and FRIT is more effective than the wavelet transform in representing linear.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu He and Shuai Xing "Study on the image noise reduction based on ridgelet transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951V (30 October 2009); https://doi.org/10.1117/12.832933
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KEYWORDS
Denoising

Radon transform

Wavelet transforms

Image processing

Radon

Signal processing

Signal to noise ratio

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