Pure-color preserving multi-exposure image fusion

Visavakitcharoen, Artit; Kinoshita, Yuma; Kiya, Hitoshi

doi:10.1117/12.2521655

Cited by 6 publications

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“…Because of such a situation, we pointed out that multiexposure images have different colors, so the fused images have to include some color distortion [5]. To improve this issue, we focus on two insights: the constant hue plane in RGB color space [6] and inverse camera response function (CRF).…”

Section: Introductionmentioning

confidence: 99%

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Visavakitcharoen

Kinoshita

Kiya

2019

2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)

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Multi-exposure image fusion is a method for producing an image with a wide dynamic range by fusing multiple images taken under various exposure values. In this paper, we discuss color distortion included in fused images, and propose a novel color compensation method for multi-exposure image fusion. In the proposed method, an inverse camera response function (CRF) is estimated by using multi-exposure images, and then a high dynamic range (HDR) radiance map is recovered. The color information of the radiance map is applied to images fused by conventional multi-exposure imaging to correct the color distortion. The proposed method can be applied to any existing fusion approaches for improving the quality of the fused images.

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Section: Introductionmentioning

confidence: 99%

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Visavakitcharoen

Kinoshita

Kiya

2019

2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)

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Disease recognition in philodendron leaf using image processing technique

Muthukrishnan

Seetharaman

Nedumaran

2021

Environ Sci Pollut Res

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Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion

Kinoshita

Shiota

et al. 2019

2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)

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We proposes a novel single-shot high dynamic range imaging scheme with spatially varying exposures (SVE) considering hue distortion. Single-shot imaging with SVE enables us to capture multi-exposure images from a single-shot image, so high dynamic range images can be produced without ghost artifacts. However, SVE images have some pixels at which a range supported by camera sensors is exceeded. Therefore, generated images have some color distortion, so that conventional imaging with SVE has never considered the influence of this range limitation. To overcome this issue, we consider estimating the correct hue of a scene from raw images, and propose a method with the estimated hue information for correcting the hue of SVE images on the constant hue plain in the RGB color space.Index Terms-high dynamic range imaging, spatially varying exposures, maximally saturated color

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Pure-color preserving multi-exposure image fusion

Cited by 6 publications

References 0 publications

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Disease recognition in philodendron leaf using image processing technique

Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion

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