Abstract
An undesirable by-product of a captured image is Image Noise - random distribution of brightness and color misinformation. Denoising is one of the common components which is present in digital image processing techniques, Image processing has become an integral part of today's era amongst rapidly growing technologies. The process of manipulating images by using various algorithms exploring techniques to pre-process an image, improving its pictorial information for human interpretation. This research paper explores different types of image noise that can be present in a digital image and degradation by photo electronic noise, impulse (salt & pepper) noise and gaussian noise, thus reviews on linear approaches to denoise the image using 2D convolution filters and median non-linear filters.
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