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https://www.researchgate.net/publication/6289713_Image_Superresolution_Using_Support_Vector_Regression
A new in-scale single image super-resolution approach is proposed in this paper. The proposed approach effectively applies support vector regression (SVR) for …
https://ieeexplore.ieee.org/document/4200763/
Image Superresolution Using Support Vector Regression Abstract: 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.Cited by: 269
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: 269
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/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/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 and...
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