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

## TL;DR

This paper introduces a color compensation technique for multi-exposure image fusion that utilizes inverse camera response functions to correct color distortions and enhance image quality.

## Contribution

It proposes a novel color correction method based on inverse CRF estimation that can be integrated with existing fusion approaches to improve color accuracy.

## Key findings

- Reduces color distortion in fused images
- Improves visual quality of high dynamic range images
- Compatible with various fusion methods

## Abstract

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.