SURVEY ON VARIOUS NOISES AND TECHNIQUES FOR DENOISING THE COLOR IMAGE
Mohd Awais Farooque · 2013
Images are often degraded by noises. Noise can occur during image capture, transmission, etc. Noise removal is an important task in Image processing. In general the results of the noise removal have a strong influence on the quality of the image processing technique. Several techniques for noise removal are well established in color image processing. The nature of the noise removal problem depends on the type of the noise corrupting the im age. In the field of image noise reduction several linear and non linear filtering methods have been proposed. Denoising of image is very important and inverse problem of image processing which is useful in the areas of image mining, image segmentation, pattern recognition and an important preprocessing technique to remove the noise from the naturally corrupted image by the different types of noises. The wavelet techniques are very effective to remove the noise also use of its capability to confine the power of a signal in little convert of energy values. This Paper reviews on various noises like Salt and Pepper noise, Gaussian noise etc and various techniques available for denoising the color image.