Image Noise: Detection, Measurement, and Removal Techniques
نویسنده
چکیده
The report surveys the evolution of image denoising techniques from the perspectives of detection, measurement, and removal. Since noise detection and measurement are intrinsically the same, we focus on the discussion of noise measurement and noise removal techniques. For noise measurement approaches, we survey filter-based, block-based, and wavelet-based, as well as other important achievements in the area. For noise removal approaches, we also survey from four stages in roughly chronological order from 1970s to the beginning of 2010s, i.e., spatialdomain, transform-domain, non-local, and recent achievements. Specifically, the recent approaches mainly consist of TV minimization, sparse coding, and deep learning.
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