An improved image denoising algorithm based on wavelet transform Modulus Maximum

摘要

This paper proposes an improved image denoising algorithm, which uses a piecewise cubic spline interpolation algorithm to reconstruct wavelet coefficients after denoising based on Modulus Maximum Principle first, and then recompose the image using the mallat algorithm. Experiments show that the approximate wavelet coefficients of the original image are offered through this algorithm, and denoising is obvious.