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An Adaptive Weighted Image Denoising Method Based on Morphology
2021
North atlantic university union: International Journal of Circuits, Systems and Signal Processing
In its generation, transmission and record, image signal is often interfered by various noises, which have severally affected the visual effects of images; therefore, it is a very important pre-processing step to take proper approaches to reduce noises. Conventional denoising methods have also blurred image edge information while removing noises, which can be overcome by the method based on mathematical morphology. While eliminating different noises from images, it can not only keep clear
doi:10.46300/9106.2021.15.31
fatcat:k4hjgy4k2rge3p3a27vzd3o7g4