Research Methods on Denoising of Grayscale Images
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In this research several image denoising methods are explored and some novel methods are developed. Combining Total Variation Filtering (TVF) and Weighted Bilateral Filtering (WBF), We proposed a hybrid Total Variation Filter-Weighted Bilateral Filter (TVF-RBF) multi-filter denoising algorithm; also, combining Robust Bilateral Filter (RBF) and Total Variation Filter (TVF) denoising technology, We proposed a hybrid Robust bilateral Filter-Total Variation Filter (RBF-TVF) multi-filter denoising algorithm. We have also proposed a Bayesian Patch-based image denoising algorithm based on Quaternion ...
In this research several image denoising methods are explored and some novel methods are developed. Combining Total Variation Filtering (TVF) and Weighted Bilateral Filtering (WBF), We proposed a hybrid Total Variation Filter-Weighted Bilateral Filter (TVF-RBF) multi-filter denoising algorithm; also, combining Robust Bilateral Filter (RBF) and Total Variation Filter (TVF) denoising technology, We proposed a hybrid Robust bilateral Filter-Total Variation Filter (RBF-TVF) multi-filter denoising algorithm. We have also proposed a Bayesian Patch-based image denoising algorithm based on Quaternion wavelet transform (QWT): using Patch model instead of Gibbs distributed based energy model.
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