Introduction

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

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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 Link: ​https://github.com/FFmpeg/FFmpeg/commit/0bb5cd8c4d566d38d6f056fb13eba3a0a5c4d211

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

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

Samples:

Heavily damaged sample:

Corrected by Grey Edge:

Corrected by Weighted Grey Edge: