Image Superresolution Using Support Vector Regression

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Image Superresolution Using Support Vector Regression ...

    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 ...

Image Superresolution Using Support Vector Regression ...

    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

Image Superresolution Using Support Vector Regression

    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

Improved Image Super-Resolution by Support Vector …

    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 …

A Learning Approach based on Support Vector Regression for ...

    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

Interpolation Based Image Super Resolution by Support ...

    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. ...

CiteSeerX — Image superresolution using support vector ...

    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 ...

Image super-resolution using multi-layer support vector ...

    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 ...

(PDF) Single Image Superresolution Based on Support Vector ...

    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 ...

Super-resolution images by support vector regression on ...

    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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