Display adaptive tone mapping

Abstract

Figure 1: Image reproduced adaptively for low ambient light (dark room scenario -left) and high ambient light (sunlight scenario -right). The display adaptive tone mapping can account for screen reflections when generating images that optimize visible contrast. AbstractWe propose a tone mapping operator that can minimize visible contrast distortions for a range of output devices, ranging from e-paper to HDR displays. The operator weights contrast distortions according to their visibility predicted by the model of the human visual system. The distortions are minimized given a display model that enforces constraints on the solution. We show that the problem can be solved very efficiently by employing higher order image statistics and quadratic programming. Our tone mapping technique can adjust image or video content for optimum contrast visibility taking into account ambient illumination and display characteristics. We discuss the differences between our method and previous approaches to the tone mapping problem.

An extensive performance evaluation of full-reference HDR image quality metrics

“…Therefore, we selected the five most linear and most correlated objective Fig. 1 Original contents for the new proposed image database described in ''Database #5-New subjective database'', rendered using the TMO in Mantiuk et al (2008) quality metrics: HDR-VDP-2.2, HDR-VQM, PU-IFC, PU-UQI, and PU-VIF (the calculation of PU-metrics will be explained in detail in ''Objective Quality Metrics under Consideration''). The INLSA algorithm first normalizes MOS scores from each source in the [0,1] interval, and then aligns them by solving two least square problems: first, the MOS values are corrected by an affine transformation in order to span the same subjective scale; second, the MOS values are aligned to the corresponding objective values by finding the optimal (in least-square sense) combination of weights such that the corrected MOSs can be predicted as a linear combination of objective parameters.…”

A study on user preference of high dynamic range over low dynamic range video

“…Furthermore, it suggests that relatively less complex global TMOs can outperform complex local TMOs for video application. The work is of particular interest to us since it evaluates several TMOs for video applications out which one of the temporally coherent TMOs, proposed by Mantiuk et al [18] has been used in this work. Furthermore, several other TMO evaluations have been conducted by Narwaria et al [21], Urbano et al [26] and Melo et al [19].…”

“…Mantiuk et al [18] proposed a TMO where the primary goal is to preserve the appearance of the original HDR scene including contrast, sharpness and colours by adjusting the image/video content with the pre-notion of the ambient illumination and capabilities of the target display. The authors show that such a TMO can be defined as a non-linear optimisation problem which can subsequently be simplified by reducing the degrees of freedom of the optimised system.…”

“…The proposed TMO also accounts for temporal coherence when tone mapping an HDR video sequence. Further details are available in [18].…”

Demystifying High-Dynamic-Range Technology: A new evolution in digital media

“…The main tone-mapping schemes include global, local, edge-aware, and simulation of the HVS. Global operators compute a monotonously increasing tone map curve [41]. Local operators map a pixel depending on information from its spatial neighborhood [42].…”