HDR Toolbox is a MATLAB/Octave toolbox for processing High Dynamic Range (HDR) content.
Author: Francesco Banterle
License: This software is distributed under GPL v3 license (see license.txt)
Year: Fall 2010-2018
Title: HDR Toolbox for Matlab
Version: 1.1.0
When you use the HDR Toolbox for your research, please DO NOT reference the URL of this website as many people wrongly do.Please reference the book in your work/papers:
@book{Banterle:2017,
author = {Banterle, Francesco and Artusi, Alessandro and Debattista, Kurt and Chalmers, Alan},
title = {Advanced High Dynamic Range Imaging (2nd Edition)},
year = {2017},
month={July},
isbn = {9781498706940},
publisher = {AK Peters (CRC Press)},
address = {Natick, MA, USA},
}
Unzip the file HDRToolbox.zip in a FOLDER on your PC/MAC
Run Matlab
Set the FOLDER as current directory
Write the command installHDRToolbox in the Command Window, and wait for the installation process to end.
Note: some functionalities are written in C++ (I/O .exr files, and bilateralFilterS). Therefore, they needa C++ compiler installed on the machine in order to be compiled and used. In the case you want to usesuch such functionalities, you have to install a C++ compiler on your machine and to setup the MATLAB MEX.
When you use parts or the full source code of this project in your own project, please remember to cite this projectboth in your project webpage and in its source code. This SHOULD be done even when you convert this code into anotherprogramming language.
Be kind.
The majority of EOs require to have as input LDR/SDR images that are NORMALZIED (i.e., in the range [0,1])and LINEARIZED. To be LINEARIZED means that the camera response function (CRF) or the gamma encoding has been removed.This operation is MANDATORY in order to generate FAIR comparisons.
NOTE1: Please DO use the gammaRemoval parameter to remove gamma encoding if you do not have the CRF of the input image. Notethat this is an approximation.
NOTE2: RAW files do not require this step because they are already linear. Therefore, for ONLY theseimages set gammaRemoval = 1.0.
The majority of TMOs return tone mapped images with linear values (i.e., withouth a CRF or gamma encoding).This means that gamma encoding needs to be applied to the output of these TMOs before visualization or beforewriting tone mapped images on the disk; otherwise these images will appear dark.A few operators (e.g., Mertens et al.'s operator) return gamma encoded values,so there is no need to apply gamma to them; in this case a message (e.g., a Warning) is displayedafter tone mapping alerting that there is no need of gamma encoding.
Please, send your pull requests to the develop branch. Requests sent to the Master branch will be ignored.
e-mail: support@advancedhdrbook.com
facebook: https://www.facebook.com/pages/Advanced-High-Dynamic-Range-Imaging-Book/166905003358276
classification_matlab_toolbox_by cbir@smth Classification_Toolbox.pdf Classification_toolbox ADDC.m AGHC.m About.bmp Ada_Boost.m BIMSEC.m Backpropagation_Batch.m Backpropagation_CGD.m Backpropagation_
hyperAce.m hyperAmsd.m hyperAtgp.m hyperCem.m hyperConvert2d.m hyperConvert2Jet.m hyperConvert3d.m hyperCorr.m hyperCov.m hyperDemo.m hyperDemo_detectors.m hyperDemo_RIT_data.m hyperDestreak.m hyperFc