SUPERRESOLUTION - v2.0
v1.0 - January 12, 2006 by Patrick Vandewalle, Patrick Zbinden
and Cecilia Perez
v2.0 - November 13, 2006 by Patrick Vandewalle, Karim Krichane,
Cecilia Perez, and Patrick Zbinden
Matlab Graphical User Interface for Super-Resolution Imaging
To run the application, run "superresolution" in Matlab (with the
'application' directory as working directory)
This program allows a user to perform registration of a set of low
resolution input images and reconstruct a high resolution image from
them. Multiple image registration and reconstruction methods have
been implemented. As input, the user can either select existing
images, or generate a set of simulated low resolution images from a
high resolution image. More information is available online:
http://lcavwww.epfl.ch/software/superresolution
If you use this software for your research, please also put a
reference to the related paper "A Frequency Domain Approach to
Registration of Aliased Images with Application to Super-Resolution"
Patrick Vandewalle, Sabine Susstrunk and Martin Vetterli available at
http://lcavwww.epfl.ch/reproducible_research/VandewalleSV05/
Currently the following algorithms are implemented:
Image Registration
- D. Keren, S. Peleg, and R. Brada, Image sequence enhancement using
sub-pixel displacement, in Proceedings IEEE Conference on
Computer Vision and Pattern Recognition, June 1988, pp. 742-746.
- L. Lucchese and G. M. Cortelazzo, A noise-robust frequency domain
technique for estimating planar roto-translations, IEEE Transactions
on Signal Processing, vol. 48, no. 6, pp. 1769-1786, June 2000.
- B. Marcel, M. Briot, and R. Murrieta, Calcul de Translation et
Rotation par la Transformation de Fourier, Traitement du Signal,
vol. 14, no. 2, pp. 135-149, 1997.
- P. Vandewalle, S. Susstrunk and M. Vetterli, A Frequency Domain
Approach to Registration of Aliased Images with Application to
Super-Resolution, accepted to EURASIP Journal on Applied Signal
Processing (special issue on Super-resolution), 2005.
Image Reconstruction
- Interpolation: bicubic interpolation using Matlab's built-in
griddata function.
- Papoulis-Gerchberg: Papoulis and Gerchberg's POCS algorithm
projecting successively onto the space of known pixels and the space
of bandlimited images.
- Iterated Back Projection: an iterative back projection algorithm
inspired by M. Irani and S. Peleg, Improving resolution by image
registration, Graphical Models and Image Processing, 53:231-239, 1991.
- Robust Super Resolution: a more robust version of the iterative back-
projection algorithm using a median instead of a mean, based on
A. Zomet, A. Rav-Acha, and S. Peleg, Robust Super-Resolution,
Proceedings international conference on computer vision and pattern
recognition (CVPR), 2001.
- POCS: a projection onto convex sets (POCS) algorithm
- Structure-Adaptive Normalized Convolution: algorithm implementing
the method from Tuan Q. Pham, Lucas J. van Vliet and Klamer Schutte,
Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized
Convolution, EURASIP Journal on Applied Signal Processing, Vol. 2006,
Article ID 83268, 12 pages, 2006.
-----------------------------------------------------------------------
Copyright (C) 2005-2007 Laboratory of Audiovisual Communications (LCAV),
Ecole Polytechnique Federale de Lausanne (EPFL),
CH-1015 Lausanne, Switzerland
This program is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 2 of the License, or (at your
option) any later version. This software is distributed in the hope that
it will be useful, but without any warranty; without even the implied
warranty of merchantability or fitness for a particular purpose.
See the GNU General Public License for more details
(enclosed in the file GPL).
序列图像的超分辨重建matlab源码
5星 · 超过95%的资源 需积分: 50 46 浏览量
2008-09-12
23:20:37
上传
评论 17
收藏 3.61MB RAR 举报
yangjian19840504
- 粉丝: 4
- 资源: 1
最新资源
- 基于SpringBoot+Vue3快速开发平台、自研工作流引擎源码设计.zip
- docker安装部署全流程
- 基于树莓派的人脸识别系统python源码+项目部署说明+超详细代码注释.zip
- Python和R爬取分析赶集网北京二手房数据.zip
- Python和R爬取分析赶集网北京二手房数据.zip
- Java知识体系最强总结(2021版).txt
- Python知识点Python知识点Python知识点Python知识点Python知识点PythonPython知识点.txt
- Java开发基于seetaface6的人脸识别(活体检测)的封装源码.zip
- JSP在线失物招领管理平台源码.zip
- JSP在线旅游美食展现管理系统源码.zip
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
- 1
- 2
- 3
- 4
前往页