A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format

This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure image fusion. Multi-exposure image fusion is a method to produce images without saturation regions, by using photos with different exposures. In conventional works, it has been pointed out that the quality of those multi-exposure images can be improved by adjusting the luminance of them. However, how to determine the degree of adjustment has never been discussed. This paper therefore proposes a way to automatically determines the degree on the basis of the luminance distribution of input multi-exposure images. Moreover, new weights, called "simple weights", for image fusion are also considered for the proposed luminance adjustment method. Experimental results show that the multi-exposure images adjusted by the proposed method have better quality than the input multi-exposure ones in terms of the well-exposedness. It is also confirmed that the proposed simple weights provide the highest score of statistical naturalness and discrete entropy in all fusion methods.

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“…Hence, the proposed method can produce high quality images even when simple weights are used in eq. (21).…”

Section: Simulation Resultsmentioning

confidence: 99%

Automatic Exposure Compensation for Multi-Exposure Image Fusion

Kinoshita

Shiota

Kiya

2018

2018 25th IEEE International Conference on Image Processing (ICIP)

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“…(12), although they satisfy Eq. (11). The proposed method aims to suppress some hue distortion included in LDR images mapped from HDR ones.…”

Section: Hdr Images On the Constant Hue Planementioning

confidence: 99%

“…Tone mapping (TM) operation generates LDR images from HDR ones to display HDR ones on conventional LDR devices. Various research works on TM have so far been reported [1][2][3][4][5][6][7][8][9][10][11][12][13]. Most conventional studies have focused on compressing the luminance range of HDR images.…”

Section: Introductionmentioning

confidence: 99%

A Hue-Preserving Tone Mapping Scheme Based on Constant-Hue Plane Without Gamut Problem

Kinoshita

Seo

Visavakitcharoen

et al. 2019

IEICE Trans. Fundamentals

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We propose a novel hue-preserving tone mapping scheme. Various tone mapping operations have been studied so far, but there are very few works on color distortion caused in image tone mapping. First, LDR images produced from HDR ones by using conventional tone mapping operators (TMOs) are pointed out to have some distortion in hue values due to clipping and rounding quantization processing. Next,we propose a novel method which allows LDR images to have the same maximally saturated color values as those of HDR ones. Generated LDR images by the proposed method have smaller hue degradation than LDR ones generated by conventional TMOs. Moreover, the proposed method is applicable to any TMOs. In an experiment, the proposed method is demonstrated not only to produce images with small hue degradation but also to maintain well-mapped luminance, in terms of three objective metrics: TMQI, hue value in CIEDE2000, and the maximally saturated color on the constanthue plane in the RGB color space.

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“…However, HDR display devices are not popular yet due to the high cost of the technologies. Hence, the second one focuses on tone mapping operations which generate standard LDR images from HDR ones [9][10][11]. Consequently, in order to generate high quality LDR images via HDR images, it is necessary not only to generate HDR ones but also to map them into LDR ones.…”

Section: Introductionmentioning

confidence: 99%

A Pseudo Multi-Exposure Fusion Method Using Single Image

Kinoshita

Shiota

Kiya

2018

IEICE Trans. Fundamentals

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This paper proposes a novel pseudo multiexposure image fusion method based on a single image. Multiexposure image fusion is used to produce images without saturation regions, by using photos with different exposures. However, it is difficult to take photos suited for the multi-exposure image fusion when we take a photo of dynamic scenes or record a video. In addition, the multi-exposure image fusion cannot be applied to existing images with a single exposure or videos. The proposed method enables us to produce pseudo multi-exposure images from a single image. To produce multi-exposure images, the proposed method utilizes the relationship between the exposure values and pixel values, which is obtained by assuming that a digital camera has a linear response function. Moreover, it is shown that the use of a local contrast enhancement method allows us to produce pseudo multi-exposure images with higher quality. Most of conventional multi-exposure image fusion methods are also applicable to the proposed multi-exposure images. Experimental results show the effectiveness of the proposed method by comparing the proposed one with conventional ones.

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A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format

Cited by 16 publications

References 9 publications

Automatic Exposure Compensation for Multi-Exposure Image Fusion

Automatic Exposure Compensation for Multi-Exposure Image Fusion

A Hue-Preserving Tone Mapping Scheme Based on Constant-Hue Plane Without Gamut Problem

A Pseudo Multi-Exposure Fusion Method Using Single Image

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