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https://www.researchgate.net/publication/6289713_Image_Superresolution_Using_Support_Vector_Regression
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4200763
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and the results are impressive for small training sets.Cited by: 270
https://dl.acm.org/citation.cfm?id=2321380
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and the results are impressive for small training sets.Cited by: 270
http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2011/Improved%20Image%20Super-Resolution%20by%20Support%2011.pdf
images via a Markov Random Field (MRF) model that is computed by belief propagation. In [5] support vector regression (SVR) is applied to single image super-resolution in Discrete Cosine Transform (DCT) domain. In [6], the SVR is applied to find the mapping between the LR images and the HR images …
http://cau.ac.kr/~mhhgtx/courses/AdaptiveFilters/lectures/Projects_Part_1.pdf
A Learning Approach based on Support Vector Regression for Single-Image Super-Resolution Jinho Park [email protected] (Number ID: 2013126531) Introduction Super-resolution (SR) is a process of generating a high-resolution image from one or several low-resolution
http://www.ijcsit.com/docs/Volume%205/vol5issue04/ijcsit2014050439.pdf
Interpolation Based Image Super Resolution by Support-Vector-Regression Sowmya. M 1, Anand M.J 2 1Final Year M.Tech Student, Department Of Electronics And Communication, PES College Of Engineering, Mandya, Karnataka, India. 2Assistant Professor, Department Of Electronics And Communication, PES College Of Engineering, Mandya, Karnataka, India. ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.2012
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A thorough investigation of the application of support vector regression (SVR) to the superresolution problem is conducted through various frameworks. Prior to the study, the SVR problem is enhanced by finding the optimal kernel. This is done by formulating the kernel learning problem in SVR form as a convex ...
https://www.researchgate.net/publication/271456345_Image_super-resolution_using_multi-layer_support_vector_regression
Existing support vector regression (SVR) based image superresolution (SR) methods always utilize single layer SVR model to reconstruct source image, which are incapable of restoring the details ...
https://www.researchgate.net/publication/224641292_Single_Image_Superresolution_Based_on_Support_Vector_Regression
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
https://www.researchgate.net/publication/224305424_Super-resolution_images_by_support_vector_regression_on_edge_pixels
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
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