Giter Site home page Giter Site logo

extended-vifb's Introduction

Extenden-VIFB

An Extended Visible and Infrared Image Fusion Benchmark

An Extended Visible and Infrared Image Fusion Benchmark

This is the official webpage of Extenden-VIFB.

Extenden-VIFB is a larger benchmark in the field of visible-infrared image fusion (VIF), aiming to provide a platform to perform fair and comprehensive performance comparision of VIF algorithms. Currently, 56 image pairs, 32 fusion algorithms and 16 evaluation metrics are integrated in VIFB, which can be utilized to compare performances conveniently. All the fusion results are also available that can be used by users directly. In addition, more test images, fusion algorithms (in Matlab), evaluation metrics and fused images can be easily added using the provided toolkit.

For more details, please refer to the following paper:

李一,李阳,苗壮,王家宝,张睿. 一种扩展VIFB的红外与可见光图像融合基准. 计算机工程与科学. 2022.*

Contact: Yang Li. [[email protected]]
[Download paper]

We really hope this benchmark can contribute to the development of image fusion field.

If you use this code, please cite:

李一,李阳,苗壮*,王家宝,张睿. 一种扩展VIFB的红外与可见光图像融合基准. 计算机工程与科学. 2022.

Abstract

Infrared and visible image fusion is an important area in the computer vision field due to its numerous applications. In recent years, much progress has been made for developing image fusion algorithms. However, there is a lack of code library and benchmark which can be used to evaluate the state-of-the-art methods. In this paper, after briefly revisiting recent advances of infrared and visible image fusion methods, we present an extended VIFB (Visible and Infrared Image Fusion Benchmark) for infrared and visible image fusion, which include 56 image pairs, a code library of 32 fusion algorithms and 16 evaluation metrics. Extensive experiments are conducted on the benchmark to understand the performance of these different algorithms. We also analyze the qualitative and quantitative of different fusion results and identify effective algorithms for robust image fusion. Finally, we look forward to the future prospects of infrared and visible image fusion field.

What are contained in Extenden VIFB

Dataset

Coming soon......

extended-vifb's People

Contributors

solarlee avatar

Stargazers

 avatar  avatar  avatar

Watchers

 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.