NDLI: High-quality parallel depth-of-field using line samples

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Content Provider	ACM Digital Library
Author	Davidson, Andrew Patney, Anjul Owens, John D. Ebeida, Mohamed S. Mitchell, Scott A. Tzeng, Stanley
Abstract	We present a parallel method for rendering high-quality depth-of-field effects using continuous-domain line samples, and demonstrate its high performance on commodity GPUs. Our method runs at interactive rates and has very low noise. Our exploration of the problem carefully considers implementation alternatives, and transforms an originally unbounded storage requirement to a small fixed requirement using heuristics to maintain quality. We also propose a novel blur-dependent level-of-detail scheme that helps accelerate rendering without undesirable artifacts. Our method consistently runs 4 to 5x faster than an equivalent point sampler with better image quality. Our method draws parallels to related work in rendering multi-fragment effects.
Starting Page	23
Ending Page	31
Page Count	9
File Format	PDF
ISBN	9783905674415
ISSN	20798679
DOI	10.2312/EGGH/HPG12/023-031
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-25
Publisher Place	Goslar
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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High-quality parallel depth-of-field using line samples