A proposed approach for image de-noising

One of the main challenges facing in the image de-noising is to identify the type of noise and to implement the technique for removing the noise from images. Fewer knowledge about the noise means lesser the performance. This situation in image de-noising is critical and can be handled by implementing various techniques for de-noising the image. This paper describes the proposed approach for image de-noising using wavelets. The various algorithms are implemented and critically analyzed. Relevant issues such as Noise Removal, the influence of Noise, and system evaluation are discussed, and several parameters are described for the performance metrics with the comparison of existing techniques. Finally the proposed technique is implemented and comprehensively analyzes to test its efficiency considering PSNR, Time Complexity, MAE and MSE.