Image Denoising: A Critical Component in Image Processing
Image denoising represents an essential aspect of image processing, constantly requiring a balance between noise suppression and detail preservation. Wavelet transform has emerged as a powerful signal processing tool with successful applications in noise removal. Traditional orthogonal wavelet-based denoising methods often cause oscillations near edges leading to edge distortion, and can produce blurred edges under severe noise conditions. Redundant wavelet transform techniques overcome these limitations and significantly enhance denoising performance through improved signal representation.