Layered Reconstruction for Defocus and Motion Blur

Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are e...

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Vydáno v:	Computer graphics forum Ročník 33; číslo 4; s. 81 - 92
Hlavní autoři:	Munkberg, Jacob, Vaidyanathan, Karthik, Hasselgren, Jon, Clarberg, Petrik, Akenine-Möller, Tomas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Blackwell Publishing Ltd 01.07.2014
Témata:	Algorithms Analysis Approximation Cameras Categories and Subject Descriptors (according to ACM CCS) Computer and Information Sciences Computer graphics Computer Sciences Data- och informationsvetenskap (Datateknik) Datavetenskap (Datalogi) Electrons I.3.3 [Computer Graphics]: Three-Dimensional Graphics and Realism-Display Algorithms Image reconstruction Multimedia computer applications Natural Sciences Naturvetenskap Post-processing Real time Reconstruction Rendering Studies
ISSN:	0167-7055, 1467-8659, 1467-8659
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Abstract	Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real‐time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real‐time rendering and as a post‐processing pass for offline rendering.
AbstractList	Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real-time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real-time rendering and as a post-processing pass for offline rendering. [PUBLICATION ABSTRACT] Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real‐time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real‐time rendering and as a post‐processing pass for offline rendering.
Author	Munkberg, Jacob Hasselgren, Jon Clarberg, Petrik Vaidyanathan, Karthik Akenine-Möller, Tomas
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References_xml	– reference: Lehtinen J., Aila T., Chen J., Laine S., Durand F.: Temporal Light Field Reconstruction for Rendering Distribution Effects. ACM Transactions on Graphics, 30, 4 (2011), 55:1-55:12. 1, 2, 3, 4, 7 – reference: Overbeck R.S., Donner C., Ramamoorthi R.: Adaptive Wavelet Rendering. ACM Transactions on Graphics, 28, 5 (2009), 140:1-140:12. 2 – reference: Heckbert P.S.: Fundamentals of Texture Mapping and Image Warping. Master's thesis, University of California, Berkeley, 1989. 4, 5 – reference: Lehtinen J., Aila T., Laine S., Durand F.: Reconstructing the Indirect Light Field for Global Illumination. ACM Transactions on Graphics, 31, 4 (2012), 51:1-51:10. 1, 2, 3, 7 – reference: Mehta S., Wang B., Ramamoorthi R.: Axis-Aligned Filtering for Interactive Sampled Soft Shadows. ACM Transactions on Graphics, 31, 6 (2012), 163:1-163:10. 2, 5, 8, 9 – reference: Delbracio M., Musé P., Buades A., Chauvier I., Phelps N., Morel J.-M.: Boosting Monte Carlo Rendering by Ray Histogram Fusion. ACM Transactions on Graphics, 33, 1 (2014), 8:1-8:15. 2 – reference: Egan K., Durand F., Ramamoorthi R.: Practical Filtering for Efficient Ray-Traced Directional Occlusion. ACM Transactions on Graphics, 30, 6 (2011), 180:1-180:10. 2 – reference: Rousselle F., Knaus C., Zwicker M.: Adaptive Rendering with Non-Local Means Filtering. ACM Transactions on Graphics, 31, 6 (2012), 195:1-195:11. 2 – reference: Cook R.L.: Stochastic Sampling in Computer Graphics. ACM Transactions on Graphics, 5, 1 (1986), 51-72. 1 – reference: Parker S.G., Bigler I., Dietrich A., Friedrich H., Hoberock I., Luebke D., McAllister D., McGuire M., Morley K., Robison A., Stich M.: OptiX: A General Purpose Ray Tracing Engine. ACM Transactions on Graphics 29, 4 (2010), 66:1-66:13. 2 – reference: Belcour L., Soler C., Subr K., Holzschuch N., Durand F.: 5D Covariance Tracing for Efficient Defocus and Motion Blur. ACM Transactions on Graphics, 32, 3 (2013), 31:1-31:18. 2, 3, 4, 8, 11 – reference: Lee S., Eisemann E., Seidel H.-R: Real-Time Lens Blur Effects and Focus Control. ACM Transactions on Graphics, 29, 4 (2010), 65:1-65:7. 2 – reference: Wang Z., Bovik A., Sheikh H., Simoncelli E.: Image Quality Assessment: from Error Visibility to Structural Similarity. IEEE Transactions on Image Processing, 13, 4 (april 2004), 600-612. 7 – reference: Mehta S.U., Wang B., Ramamoorthi R., Durand F.: Axis-Aligned Filtering for Interactive Physically-based Diffuse Indirect Lighting. ACM Transactions on Graphics 32, 4 (2013), 96:1-96:12. 2 – reference: Egan K., Tseng Y.-T., Holzschuch N., Durand F., Ramamoorthi R.: Frequency Analysis and Sheared Reconstruction for Rendering Motion Blur. ACM Transactions on Graphics, 28, 3 (2009), 93:1-93:13. 2, 4, 5 – reference: Xu R., Pattanaik S.N.: A Novel Monte Carlo Noise Reduction Operator. IEEE Computer Graphics and Applications, 25 (2005), 31-35. 2 – reference: Soler C., Subr K., Durand F., Holzschuch N., Sillion F.: Fourier Depth of Field. ACM Transactions on Graphics, 28, 2 (2009), 18:1-18:12. 1, 2, 3 – reference: Bauszat P., Eisemann M., Magnor M.A.: Guided Image Filtering for Interactive High-quality Global Illumination. Computer Graphics Forum (Proceedings of EGSR), 30, 4 (2011), 1361-1368. 2 – reference: Durand F., Holzschuch N., Soler C., Chan E., Sillion F.X.: A Frequency Analysis of Light Transport. ACM Transactions on Graphics, 24, 3 (2005), 1115-1126. 2, 3, 11 – reference: Egan K., Hecht F., Durand F., Ramamoorthi R.: Frequency Analysis and Sheared Filtering for Shadow Light Fields of Complex Occluders. ACM Transactions on Graphics, 30, 2 (2011), 9:1-9:13. 2 – reference: Potmesil M., Chakravarty I.: A Lens and Aperture Camera Model for Synthetic Image Generation. In Computer Graphics (Proceedings of SIGGRAPH 81) (1981), vol. 15, pp. 297-305. 2 – reference: Porter T., Duff T.: Compositing Digital Images. In Computer Graphics (Proceedings of SIGGRAPH 84) (1984), vol. 18, ACM, pp. 253-259. 2 – reference: Sen P., Darabi S.: On Filtering the Noise from the Random Parameters in Monte Carlo Rendering. ACM Transactions on Graphics, 31, 3 (2012), 18:1-18:15. 2 – volume: 24 start-page: 1115 issue: 3 year: 2005 end-page: 1126 article-title: A Frequency Analysis of Light Transport publication-title: ACM Transactions on Graphics – start-page: 9 year: 2011 end-page: 14 – volume: 32 start-page: 96:1 issue: 4 year: 2013 end-page: 96:12 article-title: Axis‐Aligned Filtering for Interactive Physically‐based Diffuse Indirect Lighting publication-title: ACM Transactions on Graphics – volume: 2000 start-page: 307 year: 2000 end-page: 318 – volume: 19 start-page: 85 year: 1985 end-page: 93 – start-page: 135 year: 2012 end-page: 142 – volume: 31 start-page: 51:1 issue: 4 year: 2012 end-page: 51:10 article-title: Reconstructing the Indirect Light Field for Global Illumination publication-title: ACM Transactions on Graphics – volume: 30 start-page: 9:1 issue: 2 year: 2011 end-page: 9:13 article-title: Frequency Analysis and Sheared Filtering for Shadow Light Fields of Complex Occluders 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Snippet	Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both...
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SubjectTerms	Algorithms Analysis Approximation Cameras Categories and Subject Descriptors (according to ACM CCS) Computer and Information Sciences Computer graphics Computer Sciences Data- och informationsvetenskap (Datateknik) Datavetenskap (Datalogi) Electrons I.3.3 [Computer Graphics]: Three-Dimensional Graphics and Realism-Display Algorithms Image reconstruction Multimedia computer applications Natural Sciences Naturvetenskap Post-processing Real time Reconstruction Rendering Studies
Title	Layered Reconstruction for Defocus and Motion Blur
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