Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion

Abstract

We propose a novel hue-correction scheme for multi-exposure image fusion (MEF). Various MEF methods have so far been studied to generate higher-quality images. However, there are few MEF methods considering hue distortion unlike other fields of image processing, due to a lack of a reference image that has correct hue. In the proposed scheme, we generate an HDR image as a reference for hue correction, from input multi-exposure images. After that, hue distortion in images fused by an MEF method is removed by using hue information of the HDR one, on the basis of the constant-hue plane in the RGB color space. In simulations, the proposed scheme is demonstrated to be effective to correct hue-distortion caused by conventional MEF methods. Experimental results also show that the proposed scheme can generate high-quality images, regardless of exposure conditions of input multi-exposure images.

References in corpus (4)

• Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion
• A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images
• A hue-preserving tone mapping scheme based on constant-hue plane without gamut problem
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Cited by in corpus (2)

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