Compensation of de-saturation effect in HDR imaging using a real scene adaptation model

Kwon, Hyunwook; Lee, Sung Hak; Bae, Tae-Wuk; Sohng, Kyu‐Ik

doi:10.1016/j.jvcir.2012.03.001

Cited by 11 publications

(6 citation statements)

References 12 publications

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“…An extension of this work [54] adds a clustering step to refine the selection. Potentially grey pixels can also be selected as the points close to the Planckian locus 1 in a given chromaticity space [38]. This approach may fail when two potentially grey surfaces are present in the scene.…”

Section: A Single Illuminant Estimationmentioning

confidence: 99%

Estimation of Illuminants From Projections on the Planckian Locus

Mazin

Delon

Gousseau

2015

IEEE Trans. on Image Process.

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This paper introduces a new approach for the automatic estimation of illuminants in a digital color image. The method relies on two assumptions. First, the image is supposed to contain at least a small set of achromatic pixels. The second assumption is physical and concerns the set of possible illuminants, assumed to be well approximated by black body radiators. The proposed scheme is based on a projection of selected pixels on the Planckian locus in a well chosen chromaticity space, followed by a voting procedure yielding the estimation of the illuminant. This approach is very simple and learning-free. The voting procedure can be extended for the detection of multiple illuminants when necessary. Experiments on various databases show that the performances of this approach are similar to those of the best learning-based state-of-the-art algorithms.

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Section: A Single Illuminant Estimationmentioning

confidence: 99%

Estimation of Illuminants From Projections on the Planckian Locus

Mazin

Delon

Gousseau

2015

IEEE Trans. on Image Process.

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“…Another way to detect potentially grey pixels is to select points that are close to the Planckian locus in a chromaticity space and then to average them [17]. While inconsistent estimations (such as a purple illuminant) can be avoided this way, the approach may fail in the case where there is two potentially grey surfaces in the scene.…”

Section: Previous Workmentioning

confidence: 99%

Illuminant Estimation from Projections on the Planckian Locus

Mazin

Delon

Gousseau

2012

Computer Vision – ECCV 2012. Workshops and Demonstrations

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This paper deals with the automatic evaluation of the illuminant from a color photography. While many methods have been developed over the last years, this problem is still open since no method builds on hypotheses that are universal enough to deal with all possible situations. The proposed approach relies on a physical assumption about the possible set of illuminants and on the selection of grey pixels. Namely, a subset of pixels is automatically selected, which is then projected on the Planckian locus. Then, a simple voting procedure yields a robust estimation of the illuminant. As shown by experiments on two classical databases, the method offers state of the art performances among learning-free methods, at a reasonable computational cost.

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“…Chae et al proposed a compensation model for a white point shift of the iCAM06 by matching the channel gains of RGB cone responses before and after the tone compression process [8]. Kwon et al proposed a global chromatic adaptation to reduce the desaturation effect in iCAM06 and chromatic adaptation (CA) -tone compression (TC) decoupling methods by reducing the interference between the chromatic adaptation and tone compression [9,10].…”

Section: Introductionmentioning

confidence: 99%

Contrast Sensitivity Based Multiscale Base–Detail Separation for Enhanced HDR Imaging

Kwon

Lee

2020

Applied Sciences

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High dynamic range (HDR) imaging is used to represent scenes with a greater dynamic range of luminance on a standard dynamic range display. Usually, HDR images are synthesized through base–detail separations. The base layer is used for tone compression and the detail layer is used for detail preservation. The representative detail-preserved algorithm iCAM06 has a tendency to reduce the sharpness of dim surround images, because of the fixed edge-stopping function of the fast-bilateral filter (FBF). This paper proposes a novel base–detail separation and detail compensation technique using the contrast sensitivity function (CSF) in the segmented frequency domain. Experimental results show that the proposed rendering method has better sharpness features and image quality than previous methods correlated by the human visual system.

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Compensation of de-saturation effect in HDR imaging using a real scene adaptation model

Cited by 11 publications

References 12 publications

Estimation of Illuminants From Projections on the Planckian Locus

Estimation of Illuminants From Projections on the Planckian Locus

Illuminant Estimation from Projections on the Planckian Locus

Contrast Sensitivity Based Multiscale Base–Detail Separation for Enhanced HDR Imaging

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