Automatic color realism enhancement for virtual reality

Hyunjung Shim, Seungkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Photorealism has been one of essential goals for virtual reality. The state-of-the-art techniques employ various rendering algorithms to simulate physically accurate light transport for generating the photorealistic appearance of scene. However, they still require a labor-intensive tone mapping and color tunes by an experienced artist. In this paper, we propose an automatic photorealism enhancement algorithm by manipulating the color distribution of graphics to match with that of real photographs. Based on the hypothesis that photorealism is highly correlated with the frequency of color characteristics appearing in real photographs, we find principal color components. Then, we transfer the statistical characteristics of photographs onto graphics so to enhance their photorealism. Experiments and a user study have confirmed the effectiveness of proposed method.

Original languageEnglish
Title of host publicationIEEE Virtual Reality Conference 2012, VR 2012 - Proceedings
Number of pages2
Publication statusPublished - 2012
Event19th IEEE Virtual Reality Conference, VR 2012 - Costa Mesa, CA, United States
Duration: 2012 Mar 42012 Mar 8

Publication series

NameProceedings - IEEE Virtual Reality


Other19th IEEE Virtual Reality Conference, VR 2012
Country/TerritoryUnited States
CityCosta Mesa, CA

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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