Image Denoising and Image Super-resolution for Sensing Application

Dear Colleagues,

Due to the various factors during the image acquisition and transmission process, such as the poor imaging system, storage and bandwidth limitation, and insufficient computational power, the RAW sensor data and the processed images are often corrupted by noise and have low spatial resolution. Image denoising and image super-resolution, as two classical and yet active low-level vision research topics, can be applied on the RAW sensor data and the processed images to improve the image quality and the accuracy of subsequent high-level vision tasks. This Special Issue will present recent advances of image denoising and image super-resolution in sensing applications. Specifically, novel model-based methods, learning-based methods, or hybrid methods such as plug-and-play methods and deep unfolding methods for image denoising and image super-resolution will be of special attention.

Dr. Kai Zhang
Dr. Dongwei Ren
Guest Editors

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