Gradient Outlier Removal for Gradient‐Domain Path Tracing

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We present a new outlier removal technique for a gradient-domain path tracing (G-PT) that computes image gradients as well as colors. Our approach rejects gradient outliers whose estimated errors are much higher than those of the other gradients for improving reconstruction quality for the G-PT. We formulate our outlier removal problem as a least trimmed squares optimization, which employs only a subset of gradients so that a final image can be reconstructed without including the gradient outliers. In addition, we design this outlier removal process so that the chosen subset of gradients maintains connectivity through gradients between pixels, preventing pixels from being isolated. Lastly, the optimal number of inlier gradients is estimated to minimize our reconstruction error. We have demonstrated that our reconstruction with robustly rejecting gradient outliers produces visually and numerically improved results, compared to the previous screened Poisson reconstruction that uses all the gradients.
Publisher
WILEY
Issue Date
2019-05
Language
English
Article Type
Article
Citation

COMPUTER GRAPHICS FORUM, v.38, no.2, pp.245 - 253

ISSN
0167-7055
DOI
10.1111/cgf.13634
URI
http://hdl.handle.net/10203/263194
Appears in Collection
CS-Journal Papers(저널논문)
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