# Image-denoise-and-TV-solver

**Repository Path**: itking666/Image-denoise-and-TV-solver

## Basic Information

- **Project Name**: Image-denoise-and-TV-solver
- **Description**: Image de-noising using FISTA and MFISTA algorithms and 1D L1 and L2 solver
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Image-denoise-and-TV-solver
Image de-noising using FISTA and MFISTA algorithms and 1D L1 and L2 solver

## Description
The image denoising problem is solved using FISTA and MFISTA

The denoise folder contains 2 solvers for image denoise:
  - FISTA
  - MFISTA

The denoise folder contains 2 solvers for TV (Total variation):
  - TV l1 (1D)
  - TV l2 (1D)


## Getting Started

Clone or download the repository. Run the denoise_test.m to check FISTA (fast iterative shrinkage/thresholding algorithm) and MFISTA (monotonic fast iterative shrinkage/thresholding algorithm) algorithm. 

Run the TV_solve_test.m to check the various l1 and l2 solvers for the total variation problems in 1D.

### Prerequisites

Matlab 2010 or higher

## Authors

* **Sandeep Banik** -  [Projects](https://github.com/sandeepbanik)

## Reference 

**[Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems]** by Amir Beck and Marc Teboulle

[Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems]:<http://www.math.tau.ac.il/~teboulle/papers/tlv.pdf>