By Subhasis Chaudhuri (auth.), Subhasis Chaudhuri (eds.)
ISBN-10: 0306470047
ISBN-13: 9780306470042
ISBN-10: 0792374711
ISBN-13: 9780792374718
Super-Resolution Imaging serves as a necessary reference for either academicians and practising engineers. it may be used either as a textual content for complicated classes in imaging and as a table reference for these operating in multimedia, electric engineering, laptop technological know-how, and arithmetic.
the 1st publication to hide the recent learn zone of super-resolution imaging, this article comprises paintings at the following groundbreaking themes:
- snapshot zooming according to wavelets and generalized interpolation;
- Super-resolution from sub-pixel shifts;
- Use of blur as a cue;
- Use of warping in super-resolution;
- solution enhancement utilizing a number of apertures;
- Super-resolution from movement facts;
- Super-resolution from compressed video;
- Limits in super-resolution imaging.
Written by means of the major specialists within the box, Super-Resolution Imaging provides a finished research of present know-how, in addition to new study findings and instructions for destiny work.
Read Online or Download Super-Resolution Imaging PDF
Best nonfiction_7 books
Ales Jaklic;Ales Leonardis;F. Solina's Segmentation and Recovery of Superquadrics PDF
A illustration of gadgets through their components is the dominant technique for representing complicated 3D items in lots of disciplines. In laptop imaginative and prescient and robotics, superquadrics are one of the such a lot common half versions. Superquadrics are a relatives of parametric types that disguise a wide selection of easily altering 3D symmetric shapes, that are managed with a small variety of parameters and which might be augmented with the addition of world and native deformations.
This booklet constitutes the refereed joint court cases of 7 foreign workshops held together with the twenty seventh overseas convention on Conceptual Modeling, ER 2008, in Barcelona, Spain, in October 2008. The forty two revised complete papers provided have been conscientiously reviewed and chosen from 108 submissions.
According to 8 vast lectures chosen from these given on the popular Chris Engelbrecht summer time tuition in Theoretical Physics in South Africa, this article at the theoretical foundations of quantum info processing and verbal exchange covers an array of issues, together with quantum possibilities, open platforms, and non-Markovian dynamics and decoherence.
- HPLC of biological macromolecules
- The Latvian Language in the Digital Age
- Nonlinear PDE’s in Condensed Matter and Reactive Flows
- Fundamental Aspects of Silicon Oxidation
Extra resources for Super-Resolution Imaging
Example text
Of America, Series A, vol. 11, no. 5, pp. 572–579, 1994. [37] P. Sementilli, B. Hunt, and M. Nadar, “Analysis of the limit to super-resolution in incoherent imaging,” Journal of Optical Society of America, Series A, vol. 10, pp. 2265–2276, 1993. D. thesis, School of Biomedical Engineering, Indian Institute of Technology, Bombay, 2001. [39] S. Chaudhuri and A. N. Rajagopalan, Depth from defocused images: A real aperture imaging approach, Springer-Verlag, New York, 1999. [40] Michal Irani and Shmuel Peleg, “Motion analysis for image enhancement : resolution, occlusion and transparency,” Journal of Visual Communication and Image Representation, vol.
Their method extrapolates wavelet transform extrema across scales, and, important singularities are selected. Corresponding extrema across the scales are associated using least squares error criterion. Nicolier et al [17] uses zero-crossings to predict the high frequency coefficients in the wavelet domain. Using order type wavelets, zerocrossings in the detail coefficients are produced at the location of a step signal. They have shown the result using 9th order B-spline wavelet for the purpose.
IEEE Transactions on Information Theory, 38:617–643, Mar 1992. [12] Stephen G. Mallat and Sifen Zhong. “Characterization of signals from multiscale edges”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(7):710–732, July 1992. [13] Stephen A. Martucci. “Interpolation in the dst and dct domains ”. In “International Conference on Image Processing ICIP-2000”, 2000. [14] Michael Unser, Akram Aldroubiand Murray Eden. “Color information for region segmentation”. IEEE Tx on Image Processing, 4(3):247–258, March 1995.
Super-Resolution Imaging by Subhasis Chaudhuri (auth.), Subhasis Chaudhuri (eds.)
by Brian
4.1