wiki:

SponsoringPrograms

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GSoC

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2018

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Results


Version 8 (modified by thilo.borgmann, 4 months ago) (diff)

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Introduction

This page shows the results from the student projects that were part of GSoC 2018.


Projects

Color Constancy Filter

Description: Color constancy is the ability of the human visual system that ensures the perception of the color of objects to remain relatively constant under varying illumination conditions. A color constancy filter would basically be applied on images with various degrees of damage to restore original colors as close as possible.

Applications:

  • Image restoring filter by photographers.
  • Pre-processing step for computer vision algorithms that utilizes image colors.

Outcome: Low-level image statistics Grey Edge algorithm was implemented alongside with Weighted Grey Edge improvement.

Commit Links:

Mentor: Thilo Borgmann (thilo.borgmann AT mail DOT de)

Student: Mina Sami (minas.gorgy AT gmail DOT com)

Samples:

Heavily damaged sample:
https://firebasestorage.googleapis.com/v0/b/ffmpeg-color-constancy.appspot.com/o/original.jpg

Corrected by Grey Edge:
https://firebasestorage.googleapis.com/v0/b/ffmpeg-color-constancy.appspot.com/o/grey_edge.png

Corrected by Weighted Grey Edge:
https://firebasestorage.googleapis.com/v0/b/ffmpeg-color-constancy.appspot.com/o/weighted_grey_edge.png