Image Denoising Based on Curvelet Transforms and its Comparative Study with Basic Filters

@inproceedings{Sharma2013ImageDB,
  title={Image Denoising Based on Curvelet Transforms and its Comparative Study with Basic Filters},
  author={Kanika Sharma and Kiran Jyoti},
  year={2013}
}
Image denoising is basic work for image processing, analysis and computer vision. This Work proposes a Curvelet Transformation based image denoising, which is combined with the low pass filtering and thresholding methods in the transform domain. Through simulations with images contaminated by white Gaussian noise, this scheme exhibits better performance in both PSNR (Peak Signal-to-Noise Ratio) and visual effect as compared to basic filters. Curvelet transformation is a multi-scale… CONTINUE READING
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