SR_NE_ANR
所属分类：图形图像处理
开发工具：matlab
文件大小：92525KB
下载次数：15
上传日期：2017-07-04 10:25:22
上 传 者：
sss291
说明： 超分辨率中的ANR算法代码实现,较为详细
(super resolution algorithm called ANR)
文件列表:
SR_NE_ANR (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary\Dictionary.mat (1766587, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary\Dictionary2.mat (1416159, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary\Dictionary4.mat (2266048, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary\smp_patches2.mat (19494514, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Dictionary\smp_patches4.mat (38910124, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\1.bmp (198198, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\2.bmp (169686, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\L1SR.bmp (198198, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\Thumbs.db (32768, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\bb.bmp (198198, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\high.bmp (198198, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Test\low.bmp (22070, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training (0, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\Thumbs.db (665600, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t1.bmp (104246, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t10.bmp (55266, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t11.bmp (118614, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t12.bmp (40990, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t13.bmp (101010, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t14.bmp (76990, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t15.bmp (126618, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t16.bmp (83894, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t17.bmp (69786, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t18.bmp (55782, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t19.bmp (96174, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t2.bmp (92418, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t20.bmp (18462, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t21.bmp (41346, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t22.bmp (59718, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t23.bmp (46902, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t24.bmp (37290, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t25.bmp (125190, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t26.bmp (58742, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t27.bmp (126030, 2013-10-06)
SR_NE_ANR\CVPR08-SR\Data\Training\t28.bmp (92550, 2013-10-06)
... ...
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
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