Translucent Image Recoloring through Homography Estimation
No Thumbnail Available
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Image color editing techniques are of great significance for users who wish to adjust the image color. However, previous works
paid less attention to the translucent images. In this paper, we propose a new method to recolor the translucent images while
preserving detailed information and color relationships of the source image. We consider the recolor problem as a location
transformation problem and solve it in two steps: automatic palette extraction and homography estimation. First, we propose
the Hmeans method to extract the dominant colors of the source image based on histogram statistics and clustering. Then, we
propose homography estimation to map the source colors to desired colors in the CIE-LAB color space. Further, we adopt a
non-linear optimization approach to improve the result generated by the last step. The proposed method maintains high fidelity
of the source image. Experiments have shown that our method generates a state-of-the-art visual result, in particular in the
shadow areas. The source images with ground truth generated by a ray tracer further verify the effectiveness of our method.
Description
@article{10.1111:cgf.13579,
journal = {Computer Graphics Forum},
title = {{Translucent Image Recoloring through Homography Estimation}},
author = {Huang, Yifei and Wang, Changbo and Li, Chenhui},
year = {2018},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13579}
}