De-Noising Techniques: A Comparative Approach

Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age. Whatever may be the way of transmission, the data tends to get noisy and thereby the further processing does not lead to good results. Hence, it is very essential to keep the data close to originality. The received image needs processing before it can be used in applications. Image de-noising involves the manipulation of the image data to produce a visually high quality image. This paper reviews the existing de-noising algorithms, such as filtering approach; wavelet based approach, and performs their comparative study. Selection of the de-noising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate de-noising algorithm.