Multi-scale image harmonization
Name
Harmonization.pdf
Description
Accepted version
Size
24.1 MB
Format
Adobe PDF
Checksum (MD5)
01c19f3bada2f78154e17b4e4b3d5f89
Author(s)
Sunkavalli, Kalyan
Johnson, Micah K
Matusik, Wojciech
Pfister, Hanspeter
Date Issued
2010
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Sunkavalli, K., et al. "Multi-Scale Image Harmonization." Acm Transactions on Graphics 29 4 (2010).
Version
Author's final manuscript
Abstract
© 2010 ACM. Traditional image compositing techniques, such as alpha matting and gradient domain compositing, are used to create composites that have plausible boundaries. But when applied to images taken from different sources or shot under different conditions, these techniques can produce unrealistic results. In this work, we present a framework that explicitly matches the visual appearance of images through a process we call image harmonization, before blending them. At the heart of this framework is a multi-scale technique that allows us to transfer the appearance of one image to another. We show that by carefully manipulating the scales of a pyramid decomposition of an image, we can match contrast, texture, noise, and blur, while avoiding image artifacts. The output composite can then be reconstructed from the modified pyramid coefficients while enforcing both alpha-based and seamless boundary constraints. We show how the proposed framework can be used to produce realistic composites with minimal user interaction in a number of different scenarios.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/1778765.1778862
