STUDY OF VARIOUS IMAGE DENOISING APPROACHES.

The important challenging factor in image denoising is removal of noise from an Image while preserving its details. Noise causes a barrier and it affects the performance by decreasing the resolution, image quality, image visuality and the object recognizing capability. Due to noise presence it is difficult for observer to obtain discriminate finer details and structure of image. There are various types of noise that corrupt the original signal. There are no of existing denoising methods like wavelets transform domain, spatial domain filtering and Principal Component Analysis (PCA) based etc. Each method has its own advantages, disadvantages and assumptions. The denoising methods are generally based on application. It is essentially to have information about the noise level present in the image to select the right algorithm. This paper outlines the brief introduction of noise, noise types and presents a study of some significant work in the field of Image denoising. Some popular approaches and their limitations that are identified by the survey are also discussed. Insights, potential issues and challenges are also discussed in the area of image denoising. This paper may provide a platform to the researchers for further research work in area of image denoising.