“…For image denoising, it can be reformulated mathematically, by finding an approximation of
where
is the original image from a degraded or noisy image
, and
is the Gaussian noise. In the past few decades, many methods have been proposed and developed to estimate
, including wavelet transforms [
13], total variation approaches [
5, 14], Fourier transforms [
15], partial differential equations [
16, 17]. In our paper, we will concentrate on the last technique, on using a partial differential equations (PDEs), on images corrupted by white Gaussian noise.…”