Band-Sifting Decomposition for Image-Based Material Editing
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band_sifting_lowres.pdf
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Author(s) • • •
Boyadzhiev, Ivaylo
Bala, Kavita
Paris, Sylvain
Adelson, Edward H
Date Issued
October 2015
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Boyadzhiev, Ivaylo et al. “Band-Sifting Decomposition for Image-Based Material Editing.” ACM Transactions on Graphics 34, 5 (November 2015): 1–16 © 2015 The Author(s)
Version
Author's final manuscript
Abstract
Photographers often "prep" their subjects to achieve various effects; for example, toning down overly shiny skin, covering blotches, etc. Making such adjustments digitally after a shoot is possible, but difficult without good tools and good skills. Making such adjustments to video footage is harder still. We describe and study a set of 2D image operations, based on multiscale image analysis, that are easy and straightforward and that can consistently modify perceived material properties. These operators first build a subband decomposition of the image and then selectively modify the coefficients within the subbands. We call this selection process band sifting. We show that different siftings of the coefficients can be used to modify the appearance of properties such as gloss, smoothness, pigmentation, or weathering. The band-sifting operators have particularly striking effects when applied to faces; they can provide "knobs" to make a face look wetter or drier, younger or older, and with heavy or light variation in pigmentation. Through user studies, we identify a set of operators that yield consistent subjective effects for a variety of materials and scenes. We demonstrate that these operators are also useful for processing video sequences.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2809796