Abstract

Tone-mapping operators are the typical algorithms designed to produce visibility and the overall impression of brightness, contrast, and color of high dynamic range (HDR) images on low dynamic range (LDR) display devices. Although several new tone-mapping operators have been proposed in recent years, the results of these operators have not matched those of the psychophysical experiments based on the human visual system. A color-rendering model that is a combination of tone-mapping and cone-response functions using an XYZ tristimulus color space is presented. In the proposed method, the tone-mapping operator produces visibility and the overall impression of brightness, contrast, and color in HDR images when mapped onto relatively LDR devices. The tone-mapping resultant image is obtained using chromatic and achromatic colors to avoid well-known color distortions shown in the conventional methods. The resulting image is then processed with a cone-response function wherein emphasis is placed on human visual perception (HVP). The proposed method covers the mismatch between the actual scene and the rendered image based on HVP. The experimental results show that the proposed method yields an improved color-rendering performance compared to conventional methods.

Highlights

  • High dynamic range (HDR) imaging is a photographic technology that assembles and saves photographs of a static scene taken at different exposures in a radiance map, similar to the process employed by the human eye

  • This paper presents a color-rendering model comprised of a tone-mapping operator and the cone-response function

  • Several new tone-mapping operators have been proposed in recent years, the results of these operators have not matched those of the psychophysical experiments based on the human visual system (HVS)

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Summary

Introduction

High dynamic range (HDR) imaging is a photographic technology that assembles and saves photographs of a static scene taken at different exposures in a radiance map, similar to the process employed by the human eye. The human eye readily captures a range of light intensities in multiexposure time and has a dynamic range of 6 orders of magnitude. Low dynamic range (LDR) devices have a range of 2 to 3 orders of magnitude.[1,2] This leads to a problem termed tone mapping or tone reproduction[3,4] when displaying HDR data on LDR display devices. To display the original scene using the HDR representation on display devices with LDR, it is necessary to summarize the intensity range of the original image using the single extreme ratio between the maximum and minimum intensities.[5] This ratio is the dynamic range of the image

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