From digital camera to computational photography

Digital cameras are now more than 30 years old. They benefi from an exceptional popularity that the conventional _lm cameras never obtained. Digital cameras differ from conventional analog cameras with respect to several distinctive features, some of which stand as undeniable improvements, some remaining on the contrary as brakes towards their use in every technical field. However, in the last years, these distinctive features are fostering new techniques of world observation, these techniques relying merely on the openings proposed by the new sensors. Here is the domain of Computational Photography. Before we present a critical survey of the objectives of computational photography, a review of the distinctive features of digital cameras is made, in order to determine where progress may be expected.

[1]  Lei Zhang,et al.  Color demosaicking via directional linear minimum mean square-error estimation , 2005, IEEE Transactions on Image Processing.

[2]  Richard Szeliski,et al.  PSF estimation using sharp edge prediction , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Joost van de Weijer,et al.  Computational Color Constancy: Survey and Experiments , 2011, IEEE Transactions on Image Processing.

[4]  Pauline Trouvé.  Conception conjointe optique/traitement pour un imageur compact à capacité 3D. (Digital-optical codesign of an imaging system with 3D ability) , 2012 .

[5]  Li Zhang,et al.  Random coded sampling for high-speed HDR video , 2013, IEEE International Conference on Computational Photography (ICCP).

[6]  Pascal Getreuer.  Image Demosaicking with Contour Stencils , 2012, Image Process. Line.

[7]  Shree K. Nayar,et al.  Shape from Focus , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Chia-Kai Liang,et al.  Programmable aperture photography: multiplexed light field acquisition , 2008, SIGGRAPH 2008.

[9]  Frédo Durand,et al.  Motion-invariant photography , 2008, ACM Trans. Graph..

[10]  Julie Delon,et al.  Simultaneous HDR image reconstruction and denoising for dynamic scenes , 2013, IEEE International Conference on Computational Photography (ICCP).

[11]  Hans-Peter Seidel,et al.  Optimal HDR reconstruction with linear digital cameras , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Ren Ng.  Fourier Slice Photography , 2005 .

[13]  Frédéric Guichard,et al.  Extended depth-of-field using sharpness transport across color channels , 2009, Electronic Imaging.

[14]  Julie Delon,et al.  Best Algorithms for HDR Image Generation. A Study of Performance Bounds , 2014, SIAM J. Imaging Sci..

[15]  Lennart Wietzke,et al.  Single lens 3D-camera with extended depth-of-field , 2012, Electronic Imaging.

[16]  Kiriakos N. Kutulakos,et al.  What does an aberrated photo tell us about the lens and the scene? , 2013, IEEE International Conference on Computational Photography (ICCP).

[17]  Stefan Gustavson,et al.  Unified HDR reconstruction from raw CFA data , 2013, IEEE International Conference on Computational Photography (ICCP).

[18]  Jean-Michel Morel,et al.  Subpixel Point Spread Function Estimation from Two Photographs at Different Distances , 2012, SIAM J. Imaging Sci..

[19]  Qionghai Dai,et al.  Coded focal stack photography , 2013, IEEE International Conference on Computational Photography (ICCP).

[20]  W. Marsden.  I and J , 2012 .

[21]  Zhan Yu,et al.  Lytro camera technology: theory, algorithms, performance analysis , 2013, Electronic Imaging.

[22]  Jean-Michel Morel,et al.  Self-Similarity Driven Color Demosaicking , 2009, IEEE Transactions on Image Processing.

[23]  Frédo Durand,et al.  Guest Editors' Introduction: Computational Photography , 2007, IEEE Computer Graphics and Applications.

[24]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[25]  Ramesh Raskar,et al.  Resolving Objects at Higher Resolution from a Single Motion-blurred Image , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Aswin C. Sankaranarayanan,et al.  Flutter Shutter Video Camera for compressive sensing of videos , 2012, 2012 IEEE International Conference on Computational Photography (ICCP).

[27]  Shree K. Nayar,et al.  Focal sweep videography with deformable optics , 2013, IEEE International Conference on Computational Photography (ICCP).

[28]  Yuk-Hee Chan,et al.  Color Demosaicing Using Variance of Color Differences , 2006, IEEE Transactions on Image Processing.

[29]  Chein-I. Chang.  Hyperspectral Data Exploitation: Theory and Applications , 2007 .

[30]  J. Delon,et al.  Study of the digital camera acquisition process and statistical modeling of the sensor raw data , 2013 .

[31]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[32]  Richard G. Baraniuk,et al.  Compressive Sensing , 2008, Computer Vision, A Reference Guide.

[33]  Julie Delon,et al.  Illuminant Estimation from Projections on the Planckian Locus , 2012, ECCV Workshops.

[34]  Leonard McMillan,et al.  Dynamically reparameterized light fields , 2000, SIGGRAPH.

[35]  S. Ladjal.  Flou et quantification dans les images numériques , 2005 .

[36]  Chein-I. Chang.  Hyperspectral Imaging: Techniques for Spectral Detection and Classification , 2003 .

[37]  Richard Szeliski,et al.  Noise Estimation from a Single Image , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[38]  Emmanuel J. Cand.  Towards a Mathematical Theory of Super-Resolution , 2012 .

[39]  Bernard Rougé,et al.  The Flutter Shutter Paradox , 2013, SIAM J. Imaging Sci..

[40]  Ramesh Raskar,et al.  Computational Photography: Mastering New Techniques for Lenses, Lighting, and Sensors , 2009 .

[41]  Kosuke Sato,et al.  Super-resolution with randomly shaped pixels and sparse regularization , 2013, IEEE International Conference on Computational Photography (ICCP).

[42]  David A. Landgrebe,et al.  Hyperspectral image data analysis , 2002, IEEE Signal Process. Mag..

[43]  Tomoyuki Nishita,et al.  Extracting depth and matte using a color-filtered aperture , 2008, SIGGRAPH Asia '08.