Published Paper Details:

Image Processing algorithm are designed to handle Different Problem domains. Efficiency of every algorithm is Dependent upon the Quality of input images. . Image De noising involves the manipulation of the image data to produce a visually high quality image. This work reviews the existing De noising algorithms, such as filtering approach, wavelet based approach, and multi fractal approach, and performs their comparative study. To enhance the quality of images Various images enhancement or restoration techniques are use. Images Enhancement techniques vary for different types noise. Noise is any unwanted signal present in original signal .A Quantitative measure of comparison is provided by the signal to noise ratio of the image. Noise Reductions are basically classified in to two types 1) Linear Techniques 2) Non Linear Techniques. In Linear techniques noise reduction formula is applied for all pixels of image linearly without classifying pixel in to noisy and non noisy pixels