Peizhu Gong, Jin Liu*, Shiqi Lv
Journal of Information Hiding and Privacy Protection, Vol.2, No.4, pp. 155-163, 2020, DOI:10.32604/jihpp.2020.010453
Abstract Image denoising is often used as a preprocessing step in computer
vision tasks, which can help improve the accuracy of image processing models.
Due to the imperfection of imaging systems, transmission media and recording
equipment, digital images are often contaminated with various noises during
their formation, which troubles the visual effects and even hinders people’s
normal recognition. The pollution of noise directly affects the processing of
image edge detection, feature extraction, pattern recognition, etc., making it
difficult for people to break through the bottleneck by modifying the model.
Many traditional filtering methods have shown poor performance since they do
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