SR_NE_ANR.zip_SR_SR_NE_ANR_超分辨率 ANR_超分辨率 代码_超分辨率算法

Anchored Neighborhood Regression for Fast Example-Based Super-Resolution ======================================================================== Please cite: ------------ Radu Timofte, Vincent De Smet, Luc Van Gool: Anchored Neighborhood Regression for Fast Example-Based Super-Resolution, (ICCV) 2013. The source codes are freely available for research and study purposes. Enjoy! Codes written & compiled by: ---------------------------- Radu Timofte Computer Vision Lab ETH Zurich, Switzerland radu.timofte@vision.ee.ethz.ch http://www.vision.ee.ethz.ch/~timofter/ Packages and codes included and/or adapted: ------------------------------------------- * Codes by Roman Zeyde are the basis of ours, are used for training the dictionaries and feature representation [http://www.cs.technion.ac.il/~elad/Various/Single_Image_SR.zip] * OMPBox v9+ and KSVDBox v12+ by Ron Rubinstein are used for dictionary training and sparse coding in Roman Zeyde's code. [http://www.cs.technion.ac.il/~ronrubin/software.html] * Training and test files of Yang et al.'s Super Resolution algorithm. (Image Super-resolution as Sparse Representation of Raw Image Patches, (CVPR) 2008. [CVPR08-SR/] Usage ----- >> go_run_upscaling_experiment; % demo running one experiment setting using an magnification factor and set of images >> go_run_Set14; % demo running the magnification x3 experiment on Set14 -- results in Table 1 from our ICCV2013 paper >> go_run_Set5_x2; % demo running the magnification x2 experiment on Set14 -- Table 2 from our ICCV2013 paper >> go_run_Set5_x3; % demo running the magnification x3 experiment on Set14 -- Table 2 from our ICCV2013 paper >> go_run_Set5_x4; % demo running the magnification x4 experiment on Set14 -- Table 2 from our ICCV2013 paper Written ------- 30.03.2013, Radu Timofte @ KU Leuven Revised versions ---------------- 03.10.2013, Radu Timofte @ ETH Zurich