Evaluation of tone mapping for multi-band high dynamic range images

Kishimoto, Junko; Yamaguchi, Masahiro; Ohyama, Nagaaki

doi:10.1145/1401032.1401070

Cited by 2 publications

(2 citation statements)

References 4 publications

(3 reference statements)

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“…This includes the DLP projectors that use an additional white channel and the printers that use an additional black ink. More recently multi-primary cameras and LED/laser projectors are being introduced [6,7]. Figure 1 shows the effect of such non-ideal behavior on the shape of the 3D gamuts in the XYZ space.…”

Section: Previous Workmentioning

confidence: 99%

ADICT: Accurate Direct and Inverse Color Transformation

Sajadi

Lazarov

Majumder

2010

Computer Vision – ECCV 2010

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Abstract. A color transfer function describes the relationship between the input and the output colors of a device. Computing this function is difficult when devices do not follow traditionally coveted properties like channel independency or color constancy, as is the case with most commodity capture and display devices (like projectors, camerass and printers). In this paper we present a novel representation for the color transfer function of any device, using higher-dimensional Bézier patches, that does not rely on any restrictive assumptions and hence can handle devices that do not behave in an ideal manner. Using this representation and a novel reparametrization technique, we design a color transformation method that is more accurate and free of local artifacts compared to existing color transformation methods. We demonstrate this method's generality by using it for color management on a variety of input and output devices. Our method shows significant improvement in the appearance of seamlessness when used in the particularly demanding application of color matching across multi-projector displays or multi-camera systems. Finally we demonstrate that our color transformation method can be performed efficiently using a real-time GPU implementation.

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Section: Previous Workmentioning

confidence: 99%

ADICT: Accurate Direct and Inverse Color Transformation

Sajadi

Lazarov

Majumder

2010

Computer Vision – ECCV 2010

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“…[11][12][13] In addition, application of HDR imaging technology for spectrum-based color image reproduction has been reported. 14) Against this background, it can be anticipated that the visual fidelity of high-luminance luster is improved by introducing HDR technologies into a spectrum-based color reproduction framework. The main target of HDR imaging technologies has been scenes that consist of a light scene (such as outside on a sunny day) and a dark scene (such as indoors), and there have been few cases 15) in which HDR imaging technologies were applied to the reproduction of luster.…”

Section: Introductionmentioning

confidence: 99%

Fidelity evaluation of metallic luster in six-band high-dynamic-range imaging

Murakami

Jin

Manabu

et al. 2012

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This paper presents subjective evaluation results for images reproducing metallic luster. The images were produced by a six-band high-dynamic-range imaging technique, which provides high color fidelity and the capability of various tone mapping operations. The preferences for images produced by four kinds of tone mapping operations were evaluated by means of a paired comparison method under the conditions that observers could or could not refer to real scenes. The evaluation results indicated that preferences for images depend on tone mapping operations, especially for objects that have the luster changing over a large area with moderately high intensity. In addition, when referring to a real scene, the spatially varying tone compression, which reproduces the color and complex characteristics of metallic luster, was significantly preferable to the tone mappings by other approaches. Without a real scene, the preference was also strong for images produced by simply saturating pixel values at highlights. #

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Evaluation of tone mapping for multi-band high dynamic range images

Cited by 2 publications

References 4 publications

ADICT: Accurate Direct and Inverse Color Transformation

ADICT: Accurate Direct and Inverse Color Transformation

Fidelity evaluation of metallic luster in six-band high-dynamic-range imaging

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