Research Methods on Denoising of Grayscale Images - Ali, Rashid;Yunfeng, Peng
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr. Rashid Ali promovierte 2020 in Kommunikations- und Informationssystemtechnik an der School of Computer and Communication Engineering, USTB, Peking. Zu seinen Forschungsinteressen gehören Bildverarbeitung, Bildentrauschung und Bildverbesserung.Dr. Peng Yunfeng ist Professor an der Fakultät für Computer- und Kommunikationstechnik der USTB in Peking.