A review and comprehensive comparison of image denoising techniques

Removing noise from the original signal is still a challenging problem for researchers. Despite the complexity of the recently proposed methods, most of the algorithms have not yet attained a pleasing level of applicability. This paper presents a review of some significant work in the area of image denoising. After a brief introduction, some of the popular approaches are categorized into different sets. Within each category, several representative algorithms are selected for evaluation and comparison. The experimental results are discussed and analyzed to determine the overall advantages and disadvantages of each category. Insights and potential future work in the area of denoising are also discussed.