Multi-task learning with self-learning weight for image denoising
Qian Xiang,
Yong Tang,
Xiangyang Zhou
Abstract:Background
Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse image restoration problems and become an efficient solution in image denoising.
Objective
Although a quite number of existing CNN-based image denoising methods perform well on the simplified additive white Gaus… Show more
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