Fast color transfer from multiple images

TL;DR

This paper introduces a local color transfer method using simple statistics and locally linear embedding, allowing flexible, natural, and user-guided color transfer from multiple images without strict style or size constraints.

Contribution

It presents a novel local color transfer algorithm that incorporates user-specified correspondences and multiple target images, improving naturalness and flexibility over existing methods.

Findings

Better color blending and preservation of details.

Handles multiple target images for diverse color transfer.

Produces more natural and user-intent aligned results.

Abstract

Color transfer between images uses the statistics information of image effectively. We present a novel approach of local color transfer between images based on the simple statistics and locally linear embedding. A sketching interface is proposed for quickly and easily specifying the color correspondences between target and source image. The user can specify the correspondences of local region using scribes, which more accurately transfers the target color to the source image while smoothly preserving the boundaries, and exhibits more natural output results. Our algorithm is not restricted to one-to-one image color transfer and can make use of more than one target images to transfer the color in different regions in the source image. Moreover, our algorithm does not require to choose the same color style and image size between source and target images. We propose the sub-sampling to reduce the computational load. Comparing with other approaches, our algorithm is much better in color blending in the input data. Our approach preserves the other color details in the source image. Various experimental results show that our approach specifies the correspondences of local color region in source and target images. And it expresses the intention of users and generates more actual and natural results of visual effect.