Abstract
Visual information transmitted through digital images has emerged as a significant method of communication in contemporary society; however, the images often suffer from corruption due to noise during transmission. Consequently, these images require processing to achieve usability in various applications. Image denoising refers to the techniques used to manipulate image data in order to create visually high-quality images. This denoising process employs various methods, including wavelet transformation, Wiener filter, and mean filter, all of which are implemented using MATLAB. For comparative analysis of these image denoising techniques, input images such as the Barbara, Cameraman, and House images were utilized. The proposed method demonstrated superior performance compared to existing approaches, indicating its effectiveness in producing cleaner, higher-quality images.