Sample-Based Manifold Filtering for Interactive Global Illumination and Depth of Field

We present a fast reconstruction filtering method for images generated with Monte Carlo–based rendering techniques. Our approach specializes in reducing global illumination noise in the presence of depth‐of‐field effects at very low sampling rates and interactive frame rates. We employ edge‐aware fi...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 34; no. 1; pp. 265 - 276
Main Authors:	Bauszat, P., Eisemann, M., John, S., Magnor, M.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.02.2015
Subjects:	Analysis Computer graphics Computer simulation Depth of field Filtering Filtration Frames global illumination I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism > -Raytracing I.4.3 [Computer Graphics]: Enhancement > -Filtering Illumination Image processing systems Image reconstruction Interactive Light sources Monte Carlo simulation Noise Noise reduction Radiance ray tracing real-time renderingACM CCS: I.3.6 [Computer Graphics]: Methodology and Techniques > -Graphics data structures and data types real‐time rendering ACM CCS: I.3.6 [Computer Graphics]: Methodology and Techniques‐‐‐Graphics data structures and data types; I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism‐‐‐Raytracing; I.4.3 [Computer Graphics]: Enhancement‐‐‐Filtering Rendering Sampling Studies
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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