Denoising Method Based on Wavelet Coefficients via Diffusion Equation

摘要

Image denoising is still a crucial problem for image processing community as well as mathematicians alike. This paper proposes a denoising technique based on wavelet coefficients via diffusion equation. The present work compares different denoising process by diffusion models. The data are initially subjected to synthetic noisy data with various levels of standard deviation $${sigma }^2$$ σ 2 . To quantify the results, we use peak signal to noise ratio (PSNR) as metric.