An Efficient Approach of Filtering for Noises on Images

Processing of an Image is done by computing algorithms and efficient program by applying various concepts on digital images. In digital image processing each pixel value of an image is related to some signal value. During processing of an Image there are some changes in actual value of signal due to devices, weather conditions, etc. These changes led to the noise in image which is somewhat signal distortion. There are numbers of algorithms available for identification and correction of signal distortion i.e change in pixel values or intensities. Each processing algorithms has its limitations. Wavelet transforms is one of good and efficient tool for denoising a noisy image. Removing of noises from images needs the proper way so there is reduction the strength of processing system in terms of time, money, system resources. By effective analysis of de-noising techniques and comparison using various filters an Image processing system is more efficient.