ANALYSIS OF IMAGE DENOISING TECHNIQUE BASED ON WAVELET THRESHOLDING ALONG WITH PRESERVING

ABSTARCT: Noise is undesired information that contaminates the image. In digital image processing, an image is a two dimensional function represented as F(x,y),it can be defined as an artifact that depicts or records visual perception for example two dimensional picture that has a similar appearance to some objects. All digital images contain some degree of noise. Often we suffered with noise in image that is occurred due to the sensor and circuitry of a scanner or digital camera during image acquisition and / or transmission. Whenever we are going to denoise an image, most of the method used to denoise often does not preserve the features of the image like edges of the image. In this paper we study about Wavelet Thresholding Algorithm for denoising an image. Also we study the edge detection algorithm in order to preserve the edge information of the image