A Review On image De-noising Techniques in Image Processing

computer science engineering

Abstract— — Image processing is a way to convert an image into digital form and perform some operation on it to obtain some useful information from it. The main aim of image processing is to visualization, image sharpening and restoration, image retrieval, measurement of pattern, image recognition. In Digital Image Processing, the images are more prone to noise due to image capture and transmission The image obtained after transmission is often corrupted with different types of noise. Digital images are contaminated by various types of noises such as Gaussian, Speckle and Impulse noise. In this survey different types of noises, degradation and restoration Model are discussed. We also give a brief introduction about different types of filtering algorithms such as Mean filter, Median filter and Adaptive filters to reduce noise present in the digital image.

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