TONE MAPPING OPTIMIZATION FOR REAL TIME APPLICATION

Abstract

Manually tuning tone mapping parameters is difficult, especially in real time applications. In this thesis, we propose modifications to an automated parameter tuning algorithm which can replace the manual tuning work using a content-adaptive tone mapping operator specially designed for rendered HDR content characteristics. We show that, our tone mapping results with optimized parameters preserve more visible contrast than other optimization algorithms. We also present a further algorithm for real-time interpolation of multiple look-up tables in video games accelerated by computing shaders on the GPU. Our method utilizes compute shaders to parallel counting the pixels belonging to each LUT and change the color grading effects using a post processing volume. We show that our results have a closer visual appearance to the reference images when the player changing the view point and can be executed with a fluent frame rate without overly taxing the CPU.