Git Product home page Git Product logo

multiframesuperresolution's Introduction


A Multi Frame Super Resolution Tool for Matlab inspired by the "Robust And Fast Super Resolution" tool by Oded Hanson Link. The App was modified and rebuild with Matlab App-Designer, problems with the "Robust Fast Super Resolution" and the "Lucas-Kannade Affine Optical-Flow" algorithms were fixed. The "MATLAB Image Registration" and "Adaptive Kernel Regression" were added as additional options to compute super resolution.

Info

This project was realized in the context of a semester project on the topic "Extended studies of Audio and Video Technologies" (AVT) at the TH Köln.

Features

MFSR Tool to compute an image of higher resolution from a video of low resolution images. Choose from multiple Image-Registration methods and Super-Resolution algorithms. Supported video input formats are AVI, MOV, MP4 and M4V.

Image-Registration methods:

  • MATLAB Image Registration
  • Lukas-Kanade Optical Flow Affine
  • Lucas-Kanade Optical Flow Motion

Super-Resolution Algorithms:

  • Adaptive Kernel Regression
  • Cubic Spline Interpolation
  • Robust Super Resolution
  • Fast Robust Super Resolution

MFSR_Tool

Source Code

The source code is located in MFSR_App folder. The App is build with the Matlab App-Designer and compiled with Matlab Application Compiler.

Standalone Apps

Compiled standalone apps for Windows and OS X are located in MFSR_Tool folder. If Matlab (R2019b) isn't installed, use MFSR_Installer_web to download the Matlab runtime from web.

Video Samples

Check Video_Samples folder to get some LR video samples to test the different algorithms. Most of them are from

  • MDSP Super-Resolution And Demosaicing Datasets Link

Sources

Check the Papers folder to get more information about the implemented algorithms.

Code

  • Robust And Fast Super Resolution (by Oded Hanson) Link
  • Video super-resolution by adaptive kernel regression (by Mohammad Moinul Islam) Link
  • Intensity-Based Automatic Image Registration (MathWorks) Link
  • Affine optic flow (by David Young) Link

Papers

  • Fast and Robust Multiframe Super Resolution (by Sina Farsiu et al.) Link
  • Pyramidal Implementation of the Lucas Kanade Feature Tracker (by Jean-Yves Bouguet) Link
  • Video Super-Resolution by Adaptive Kernel Regression (by Mohammad Moinul Islam et al.) link

TODO

  • Improve performance (check parallel processing of algorithms)
  • Add more configuration parameters in "Advanced Settings" section
  • Add option to play LR-Video instead of next and prev buttons
  • Optimize GUI adaptiveness when changing window-size or in fullscreen
  • Add option to show registered frames in LR-Video preview

multiframesuperresolution's People

Contributors

denmuellner avatar rafaelmaeuer avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.