The new post is updated! Image denoising is a fundamental task in computer vision, aiming to recover a clean image from a noisy observation. Total variation minimization, introduced by Rudin, Osher, and Fatemi (ROF), addresses this by penalizing the image gradient and data fidelity. This post explores the mathematical derivation of the ROF model and implements it using the Chambolle-Pock Primal-Dual algorithm.
https://sangillee.com/2026-01-06-total-variation-minimization/