TV Model Source Code: Classic Image Denoising Model Implementation

This repository contains the source code for the classic TV (Total Variation) model used in image denoising, implemented in MATLAB. The TV model is a widely-used image denoising algorithm that reduces noise in images by minimizing gradient variations through regularization techniques. During the development process, we utilized MATLAB as the primary programming environment and implemented the algorithm based on image denoising requirements. The core implementation involves: - Gradient calculation using finite difference methods - Optimization of the total variation functional through iterative schemes - Noise reduction while preserving edge information Key functions include: 1. Gradient computation using forward/backward differences 2. Regularization parameter tuning for noise-smoothness balance 3. Iterative minimization algorithms (e.g., gradient descent or primal-dual methods) This model effectively reduces various types of image noise while maintaining important image features, significantly improving image quality through mathematical optimization approaches. The implementation follows standard TV denoising principles with practical modifications for computational efficiency.