A Framework for Analysis of Computational Imaging Systems: Role of Signal Prior, Sensor Noise and Multiplexing
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[1] W. Freeman,et al. Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections , 2008, ECCV.
[2] Yoav Y. Schechner,et al. Illumination Multiplexing within Fundamental Limits , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Shree K. Nayar,et al. Multiplexing for Optimal Lighting , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Ashwin A. Wagadarikar,et al. Single disperser design for coded aperture snapshot spectral imaging. , 2008, Applied optics.
[5] T. S. Cho,et al. Motion blur removal with orthogonal parabolic exposures , 2010, 2010 IEEE International Conference on Computational Photography (ICCP).
[6] Ramesh Raskar,et al. Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing , 2007, ACM Trans. Graph..
[7] Douglas Lanman,et al. Shield fields: modeling and capturing 3D occluders , 2008, ACM Trans. Graph..
[8] Kimmo Kansanen,et al. On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics , 2012, IEEE Transactions on Signal Processing.
[9] Ramesh Raskar,et al. Optimal single image capture for motion deblurring , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Shree K. Nayar,et al. Flexible Depth of Field Photography , 2008, ECCV.
[11] J Ojeda-Castaneda,et al. Annular phase-only mask for high focal depth. , 2005, Optics letters.
[12] Frédo Durand,et al. 4D frequency analysis of computational cameras for depth of field extension , 2009, SIGGRAPH '09.
[13] Gordon Wetzstein,et al. Compressive light field photography using overcomplete dictionaries and optimized projections , 2013, ACM Trans. Graph..
[14] P. Hanrahan,et al. Light Field Photography with a Hand-held Plenoptic Camera , 2005 .
[15] Marc Levoy,et al. High performance imaging using large camera arrays , 2005, ACM Trans. Graph..
[16] Nicholas George,et al. Extended depth of field using the logarithmic asphere , 2003, International Commission for Optics.
[17] Poorvi L. Vora,et al. Comparison of primary and complementary color filters for CCD-based digital photography , 1999, Electronic Imaging.
[18] Yonina C. Eldar,et al. Robust Recovery of Signals From a Structured Union of Subspaces , 2008, IEEE Transactions on Information Theory.
[19] Anat Levin,et al. Natural image denoising: Optimality and inherent bounds , 2011, CVPR 2011.
[20] N. Sloane,et al. Hadamard transform optics , 1979 .
[21] Kiriakos N. Kutulakos,et al. Light-Efficient Photography , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Gordon Wetzstein,et al. A theory of plenoptic multiplexing , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[23] Chia-Kai Liang,et al. Programmable aperture photography: multiplexed light field acquisition , 2008, SIGGRAPH 2008.
[24] Shree K. Nayar,et al. Transactions on Pattern Analysis and Machine Intelligence Flexible Depth of Field Photography 1 Depth of Field , 2022 .
[25] Kiriakos N. Kutulakos,et al. Time-constrained photography , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[26] Ashok Veeraraghavan,et al. Optimal coded sampling for temporal super-resolution , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Shree K. Nayar,et al. Video from a single coded exposure photograph using a learned over-complete dictionary , 2011, 2011 International Conference on Computer Vision.
[28] Li Zhang,et al. Denoising vs. deblurring: HDR imaging techniques using moving cameras , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[29] W. Cathey,et al. Extended depth of field through wave-front coding. , 1995, Applied optics.
[30] Felix Goldberg,et al. Optimal multiplexed sensing: bounds, conditions and a graph theory link. , 2007, Optics express.
[31] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[32] Ashok Veeraraghavan,et al. Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[33] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[34] Shree K. Nayar,et al. Focal Sweep Camera for Space-Time Refocusing , 2012 .
[35] H. Damasio,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence: Special Issue on Perceptual Organization in Computer Vision , 1998 .
[36] Yohann Tendero. Mathematical theory of the Flutter Shutter : its paradoxes and their solution , 2012 .
[37] G. Häusler,et al. A method to increase the depth of focus by two step image processing , 1972 .
[38] David B. Dunson,et al. Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds , 2010, IEEE Transactions on Signal Processing.
[39] Stéphane Mallat,et al. Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity , 2010, IEEE Transactions on Image Processing.
[40] Shree K. Nayar,et al. Tradeoffs and Limits in Computational Imaging , 2011 .
[41] Ramesh Raskar,et al. Reinterpretable Imager: Towards Variable Post‐Capture Space, Angle and Time Resolution in Photography , 2010, Comput. Graph. Forum.
[42] Guillermo Sapiro,et al. Video Compressive Sensing Using Gaussian Mixture Models , 2014, IEEE Transactions on Image Processing.
[43] S. Nayar,et al. What are good apertures for defocus deblurring? , 2009, 2009 IEEE International Conference on Computational Photography (ICCP).
[44] Ramesh Raskar,et al. Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Karen O. Egiazarian,et al. Image restoration by sparse 3D transform-domain collaborative filtering , 2008, Electronic Imaging.
[46] Frédo Durand,et al. Image and depth from a conventional camera with a coded aperture , 2007, ACM Trans. Graph..
[47] Shree K. Nayar,et al. Computational Cameras: Approaches, Benefits and Limits , 2011 .
[48] Javier Portilla,et al. Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids , 2008, IEEE Transactions on Image Processing.
[49] Rama Chellappa,et al. Variable focus video: Reconstructing depth and video for dynamic scenes , 2012, 2012 IEEE International Conference on Computational Photography (ICCP).
[50] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[51] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[52] Aswin C. Sankaranarayanan,et al. Flutter Shutter Video Camera for compressive sensing of videos , 2012, 2012 IEEE International Conference on Computational Photography (ICCP).
[53] Stergios Stergiopoulos,et al. Gaussian Mixtures and Their Applications to Signal Processing , 2000 .
[54] Frédo Durand,et al. Patch Complexity, Finite Pixel Correlations and Optimal Denoising , 2012, ECCV.
[55] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[56] Peter J. Verveer,et al. Spectral Imaging in a Programmable Array Microscope by Hadamard Transform Fluorescence Spectroscopy , 1999 .
[57] S. Nayar,et al. Diffusion coded photography for extended depth of field , 2010, SIGGRAPH 2010.
[58] A. Wuttig. Optimal transformations for optical multiplex measurements in the presence of photon noise. , 2005, Applied optics.
[59] Peyman Milanfar,et al. Is Denoising Dead? , 2010, IEEE Transactions on Image Processing.
[60] Ashok Veeraraghavan,et al. Can we beat Hadamard multiplexing? Data driven design and analysis for computational imaging systems , 2014, 2014 IEEE International Conference on Computational Photography (ICCP).
[61] Jorge Ojeda-Castañeda,et al. Asymmetric phase masks for extended depth of field. , 2004, Applied optics.
[62] Ramesh Raskar,et al. Coded exposure photography: motion deblurring using fluttered shutter , 2006, SIGGRAPH '06.
[63] Guillermo Sapiro,et al. Gaussian mixture model for video compressive sensing , 2013, 2013 IEEE International Conference on Image Processing.
[64] Shree K. Nayar,et al. Diffusion coded photography for extended depth of field , 2010, ACM Trans. Graph..
[65] Shree K. Nayar,et al. When Does Computational Imaging Improve Performance? , 2013, IEEE Transactions on Image Processing.
[66] Jongmin Baek. Transfer efficiency and depth invariance in computational cameras , 2010, 2010 IEEE International Conference on Computational Photography (ICCP).
[67] H. Sorenson,et al. Recursive bayesian estimation using gaussian sums , 1971 .
[68] E. E. García-Guerrero,et al. Design and fabrication of random phase diffusers for extending the depth of focus. , 2006, Optics express.
[69] Yonina C. Eldar,et al. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.
[70] Rama Chellappa,et al. P2C2: Programmable pixel compressive camera for high speed imaging , 2011, CVPR 2011.