A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion
This addresses color accuracy issues in fused images for applications like photography and computer vision, but it is incremental as it builds on conventional fusion methods.
The paper tackles color distortion in multi-exposure image fusion by proposing a color compensation method that uses an inverse camera response function to recover a high dynamic range radiance map and correct colors, applicable to any existing fusion approach to improve image quality.
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.