Research Institute of Visual Computing

Select a project of interest using the advanced search:

Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image and Video Compression

Authors: Mansour, H. ;  Mantiuk, R. ;  Nasiopoulos, P. ;  Ward, R. ;  Heidrich, W.

DOI: 10.1109/TIP.2010.2095866

Abstract:

For backward compatible high dynamic range (HDR) video compression, the HDR sequence is reconstructed by inverse tone-mapping a compressed low dynamic range (LDR) version of the original HDR content. In this paper, we show that the appropriate choice of a tone-mapping operator (TMO) can significantly improve the reconstructed HDR quality. We develop a statistical model that approximates the distortion resulting from the combined processes of tone-mapping and compression. Using this model, we formulate a numerical optimization problem to find the tone-curve that minimizes the expected mean square error (MSE) in the reconstructed HDR sequence. We also develop a simplified model that reduces the computational complexity of the optimization problem to a closed-form solution. Performance evaluations show that the proposed methods provide superior performance in terms of HDR MSE and SSIM compared to existing tone-mapping schemes. It is also shown that the LDR image quality resulting from the proposed methods matches that produced by perceptually-based TMOs.

Link to Paper

Authors

Dr Rafal Mantiuk

Dr Rafal Mantiuk

Visual perception models applied in computer graphics, imaging and computational photography. Image quality and visibility metrics. Realtime display and video processing algorithms.