Colour Correction for Stereoscopic Omnidirectional Images

20th March 2020


Stereoscopic omnidirectional images (ODI) when viewed with a head-mounted display are a way to generate an immersive experience. Unfortunately, their creation is not an easy process, and different problems can be present in the ODI that can reduce the quality of experience. A common problem is colour mismatch, which occurs when the colours of the objects in the scene are different between the two stereoscopic views. In this paper we propose a novel method for the correction of colour mismatch based on the subdivision of ODIs into patches, where local colour correction transformations are fitted and then globally combined. The results presented in the paper show that the proposed method is able to reduce the colour mismatch in stereoscopic ODIs.


Paper accepted in Irish Machine Vision and Image Processing Conference (IMVIP 2018) 

Please cite our paper in your publications if it helps your research:


ODI Dataset


This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under the Grant Number 15/RP/2776.


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