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Title:
Adaptive Rendering Using a Best Matching Patch
Author: Liu Yu(刘宇) ; Zheng, CW
Keyword: adaptive sampling and reconstruction ; rendering ; patch shift ; cross bilateral filter
Source: IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Issued Date: 2016
Volume: E99D, Issue:7, Pages:1910-1919
Indexed Type: SCI
Department: Chinese Acad Sci, Inst Software, Natl Key Lab Integrated Informat Syst Technol, Beijing 100864, Peoples R China.
Abstract: A novel rendering algorithm with a best-matching patch is proposed to address the noise artifacts associated with Monte Carlo renderings. First, in the sampling stage, the representative patch is selected through a modified patch shift procedure, which gathers homogeneous pixels together to stay clear of the edges. Second, each pixel is filtered over a discrete set of filters, where the range kernel is computed using the selected patches. The difference between the selected patch and the filtered value is used as the pixel error, and the single filter that returns the smallest estimated error is chosen. In the reconstruction stage, pixel colors are combined with features of depth, normal and texture to form a cross bilateral filter, which highly preserves scene details while effectively removing noise. Finally, a heuristic metric is calculated to allocate additional samples in difficult regions. Compared with state-of-the art methods, the proposed algorithm performs better both in visual image quality and numerical error.
English Abstract: A novel rendering algorithm with a best-matching patch is proposed to address the noise artifacts associated with Monte Carlo renderings. First, in the sampling stage, the representative patch is selected through a modified patch shift procedure, which gathers homogeneous pixels together to stay clear of the edges. Second, each pixel is filtered over a discrete set of filters, where the range kernel is computed using the selected patches. The difference between the selected patch and the filtered value is used as the pixel error, and the single filter that returns the smallest estimated error is chosen. In the reconstruction stage, pixel colors are combined with features of depth, normal and texture to form a cross bilateral filter, which highly preserves scene details while effectively removing noise. Finally, a heuristic metric is calculated to allocate additional samples in difficult regions. Compared with state-of-the art methods, the proposed algorithm performs better both in visual image quality and numerical error.
Language: 英语
WOS ID: WOS:000381562700018
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17322
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Liu, Y,Zheng, CW. Adaptive Rendering Using a Best Matching Patch[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2016-01-01,E99D(7):1910-1919.
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