libsrcnn
Super-Resolution imaging with Convolutional Neural Network
A stand-alone library for Super-Resolution, Non-OpenCV model related in these projects:
Introduction
This is an open source project from original of this: SRCNN_Cpp is a C++ Implementation of Image Super-Resolution using SRCNN which is proposed by Chao Dong in 2014.
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If you want to find the details of SRCNN algorithm, please read the paper:
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of European Conference on Computer Vision (ECCV), 2014
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If you want to download the training code(caffe) or test code(Matlab) for SRCNN, please open your browse and visit http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html for more details.
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And thank you very much for Chao's work in SRCNN.
Additional references
- Fast resizing methods for BiCubic filtering
Features
- No OpenCV.
- Compile availed for almost of POSIX.
- Simply optimized for basic OpenMP.
- Works well even withou OpenMP ( as like MacOSX )
- Not support M$VC.
Supporting platforms
- Windows 32, 64 (MinGW-W64)
- Linux
- Embedded Linux, ARM, AARCH64
- MacOSX ( clang, llvm )
Latest Changes
Verison 0.1.9.35
- Fixed memory bug in float images from RGB case.
- header version flag fixed.
Previous Changes
Verison 0.1.9.34
- Fixed don't use color space scaling with bicubic filter.
- Now supporting alpha channel.
Verison 0.1.8.30
- Precision step scaling bug fixed.
Verison 0.1.8.28
- Precision step scaling option availed.
- included option by reason of libsrcnn trained for maximum double multiply.
Verison 0.1.6.23
- Fixed a small bug of wrong internal copying size.
Verison 0.1.6.22
- Fixed bug of original source (ShuWang's SRCNN).
- Use last layer (3) to Y channel at last construction.
- Changed ProcessSRCNN() method to get optional convolutional result.
Verison 0.1.6.20
- Fixed memory leak after convolution55.
- Changed ProcessSRCNN() method to get convolutional gray.
Version 0.1.4.17
- Bug fixed for color space conversion.
Verison 0.1.5.18
- Supports variable filters for interpolation.
- Nearest
- Bilinear
- Bicubic
- Lanczos-3
- B-Spline
License
- Follows original source GPLv2, but this project is LGPLv3.
Requirements
- Your G++.
How to build ?
- build with
make -f Makefile.{your platform}
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Dependency
- FLTK-1.3.4-2-ts and fl_imgtk for build test program for read and write image files.