wiki:SponsoringPrograms/GSoC/2018/Results

Version 5 (modified by Thilo Borgmann, 8 years ago) ( diff )

Updated introduction

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.

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

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