Implementation of Color Transfer Between Images Using Reinhard's Algorithm

In this paper, we present a method for color transfer between images using Reinhard's algorithm. The core implementation is provided through the Reinhard.m program, which performs color statistics matching in the lαβ color space by calculating mean and standard deviation of source and target images. We have further developed an improved version named Reinhard_improved.m that enhances the original algorithm through optimized color distribution matching and better handling of extreme color values. The improved version implements additional preprocessing steps and adaptive parameter adjustment to achieve more natural color transitions. We discuss the algorithm's advantages in maintaining image structure while transferring color characteristics, along with its limitations in handling images with significantly different color distributions. Future research directions include enhancing algorithm accuracy through machine learning integration and optimizing computational efficiency using GPU acceleration. We believe this work will contribute positively to the development of image processing and computer vision fields.