https://github.com/yuki-koyama/imagedistance

Given two images, calculate their distance in several criteria
https://github.com/yuki-koyama/imagedistance

distance image-processing metric

Last synced: 3 months ago
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Given two images, calculate their distance in several criteria

• Host: GitHub
• URL: https://github.com/yuki-koyama/imagedistance
• Owner: yuki-koyama
• License: mit
• Created: 2019-08-04T05:48:51.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-08-05T11:15:52.000Z (almost 7 years ago)
• Last Synced: 2025-01-17T13:27:35.019Z (over 1 year ago)
• Topics: distance, image-processing, metric
• Language: C++
• Homepage:
• Size: 14.6 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# imagedistance

[![Build Status](https://travis-ci.com/yuki-koyama/imagedistance.svg?branch=master)](https://travis-ci.com/yuki-koyama/imagedistance)

Given two images, calculate their distance in several criteria

## Language

- C++11

## Dependencies

- Eigen3 (`brew install eigen` / `apt install libeigen3-dev`)

## Projects using imagedistance

- SelPh 

## References

- Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2016. SelPh: Progressive Learning and Support of Manual Photo Color Enhancement. In Proc. CHI '16, pp.2520--2532. DOI: 

- Ashish Kapoor, Juan C. Caicedo, Dani Lischinski, Sing Bing Kang. 2014. Collaborative Personalization of Image Enhancement. International Journal of Computer Vision, 108, 1-2, pp.148--164, 2014. DOI: