Binocular Tone Mapping with Improved Overall Contrast and Local Details
This addresses the challenge of generating high-quality stereoscopic images for devices like 3D displays, though it appears incremental as it builds on prior binocular tone mapping research.
The paper tackles the problem of preserving overall contrast and local details simultaneously in tone mapping for high-dynamic-range images, proposing a perception-based method that generates an optimal binocular image pair and outperforms existing methods in visual and time performance.
Tone mapping is a commonly used technique that maps the set of colors in high-dynamic-range (HDR) images to another set of colors in low-dynamic-range (LDR) images, to fit the need for print-outs, LCD monitors and projectors. Unfortunately, during the compression of dynamic range, the overall contrast and local details generally cannot be preserved simultaneously. Recently, with the increased use of stereoscopic devices, the notion of binocular tone mapping has been proposed in the existing research study. However, the existing research lacks the binocular perception study and is unable to generate the optimal binocular pair that presents the most visual content. In this paper, we propose a novel perception-based binocular tone mapping method, that can generate an optimal binocular image pair (generating left and right images simultaneously) from an HDR image that presents the most visual content by designing a binocular perception metric. Our method outperforms the existing method in terms of both visual and time performance.