Published Paper Details:

Digital Image processing is a systematic procedure to translate an image into digital information and then perform some operations on it, with an objective of getting an enhanced image in terms of its quality or to extract some useful information from it. Image processing is one among the rapidly growing technologies today, with its applications in various fields. Image denoising is a key issue in all image processing researches. It is the first preprocessing step in dealing with image processing where the overall system quality should be improved. Generally, the quality of an image could be corrupted by a lot of noise due to the undesired conditions of image during its acquisition, processing, compression, reproduction and transmission. The great challenge of image denoising is how to preserve the important features and all fine details of an image when reducing the noise. There are many algorithms for denoising the image. Here in this paper, wavelet transform is used in the image denoising.