Image Denoising Techniques: A Brief Survey

In digital image processing, noise suppression from the original signal is still considered as biggest challenge till today. Image denoising refers to the process in which it evaluates the unknown signal from the available noisy signal. Several algorithms are existing, which are proposed by other authors for denoising of an image like Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), etc. This paper contributes its work by discussing the significant work done in the area of image denoising along with advantages and disadvantages. After a brief discussion, classification of image denoising techniques is explained. A comparative analysis of various image denoising methods is also performed, which will help researchers in the image denoising area. The objective of this review paper is to provide functional knowledge of image denoising methods in a nutshell for applications using images to provide an ease for selecting the ideal strategy according to the necessity.