Software & data

As a result of our research and development various software have been developed.  We have decided to make these available to the research community free of charge. If you download and use the content on this page in your research, we kindly ask that you reference this website and our papers listed below.

ICC3D - A color management application

ICC3D (Interactive Color Correction in 3 Dimensions) is an application designed to help people understand and meet the challenges of color and image reproduction, especially gamut mapping.

The main application is temporarily available from here. The source code can be found here. For questions regarding the application, please contact colourlab@hig.no.  

Citation : Farup, Ivar; Hardeberg, Jon Yngve; Bakke, Arne Magnus; Kopperud, Stale & Rindal, Anders. Visualization and Interactive Manipulation of Color Gamuts. Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications. ISBN / ISSN: 0-89208-241-0, Pages 250-255, Scottsdale, Arizona, USA, Nov, 2002. [PDF]

Colourlab Image Database: Image Quality (CID:IQ)

The Colourlab Image Database: Image Quality (CID:IQ) contain 23 pictorial images are selected as the reference images with six different distortions over 5 levels. The distortions are JPEG compression, JPEG2000 compression, Poisson noise, blurring, and two gamut mapping algorithms. CID:IQ contains the subjective scores of 17 observers. The database is available for download.

Citation : Xinwei Liu, Marius Pedersen, and Jon Yngve Hardeberg,  "CID:IQ - A New Image Quality Database," To be presented at the International Conference on Image and Signal Processing 2014 (ICISP 2014), June 30-July 2, 2014, Cherbourg, Normandy, France. [URL]

Colourlab Image Database: Multi-Illuminant scene (CID:MI)

The database can be downloaded here.

Citation:  Ziko, Imtiaz Masud; Beigpour, Shida & Hardeberg, Jon Yngve. Design and Creation of a Multi-illuminant Scene Image Dataset. Image and Signal Processing, Lecture Notes in Computer Science, Springer International Publishing, Volume 8509, Pages 531-538, 2014. [URL]

Colourlab Image Database: Imai’s ColorCheckers (CID:ICC)

The database can be downloaded here

Citation: Garcia Capel, Luis E. & Hardeberg, Jon Y. Automatic Color Reference Target Detection. The 22nd Color and Imaging Conference (CIC), IS&T, Pages 119-124, Boston, MA, USA, Nov, 2014. [PDF]

Spectral Image Database for Quality (SIDQ)

The SIDQ contains nine original 160-band hyperspectral images (MATLAB *.mat files) of scenes representing pseudo-flat surfaces of different materials (textile, wood, skin. . . ) with a spectral range between 410 and 1000nm. Five spectral distortions were designed, applied to the spectral images and subsequently compared in a psychometric experiment, in order to provide a basis for applications such as the evaluation of spectral image difference measures. The resulting 45 reproductions and raw subjective scores are also provided in the database.

The database can be downloaded here

Citation:  Steven Le Moan, Sony George, Marius Pedersen, Jana Blahova, and Jon Yngve Hardeberg. "A database for spectral image quality" in Image Quality and System Performance XII, San Francisco, CA, USA, February 2015, vol. 9396, p. 25, IS&T/SPIE.

QuickEval

QuickEval is a web-based tool for psychometric image evaluation. It supports rank order, paired comparison and category judgement. The tool is provided by the Norwegian Colour and Visual Computing Laboratory. QuickEval is available on www.colourlab.no/quickeval. For obtaining scientist access for setting up experiments please contact Marius Pedersen (marius.pedersen@hig.no). 

Source code available at https://github.com/khaivngo/QuickEval  

Citation:  Ngo, K. V.; Dokkeberg, C. A.; Storvik, J. J.; Farup, I. & Pedersen, M. Quickeval: a web application for subjective image quality assessment, Image Quality and System Performance XII, 2015, 9396, 9396-24

Automatic Color Reference Target Detection

The software processes a batch of images using CCFind MainTempMatching: Code to process a batch of images using the provided template matching approach CCFind, which can be downloaded from http://campus.udayton.edu/~ISSL/index.php/research/ccfind/ 

The software can be downloaded here

Citation:  Garcia Capel, Luis E. & Hardeberg, Jon Y. Automatic Color Reference Target Detection. The 22nd Color and Imaging Conference (CIC), IS&T, Pages 119-124, Boston, MA, USA, Nov, 2014. [PDF]

Colourlab Image Database:Perceptual Projection Sharpness (CID:PPS)

This Colourlab Image Database:Perceptual Projection Sharpness (CID:PPS) contains 7 original images distorted 6 levels of blur. They were shown using a projection system, and subjective scores have been gathered from 15 human observers. The database can be downloaded here.

Citation : Zhao, Ping, Yao Cheng, and Marius Pedersen. "Objective assessment of perceived sharpness of projection displays with a calibrated camera." Colour and Visual Computing Symposium (CVCS), 2015. IEEE, 2015. 

Data Hiding in CDBS Halftones using Orientation Modulation

This package (zip file) contains: an MS Windows demo application for data embedding in chrominance channels of CDBS halftones, Matlab scripts for data detection in RGB scans of CDBS prints, and the 6 test images used for the evaluation provided in the paper below.

Citation : V. Kitanovski and M. Pedersen, “Orientation Modulation for Data Hiding in Chrominance Channels of Direct Binary Search Halftone Prints”,Journal of Imaging Science and Technology, Vol. 60, No. 5, pp. 050407-1–050407-9, 2016.

Colon capsule endoscopy images

The data contains colon capsule endoscopy images with pathologies and normal diagnosis from different parts of the colon. There are 30 images chosen by an expert for image enhancement comparison. There are four image folder that contain implementation of two image decomposition [1, 2] techniques along with original and our proposed method. Download link.

Citation: Mohammed Ahmed, Ivar Farup, Marius Pedersen, Hovde, Øistein, Sule Yildirim. Stochastic Capsule Endoscopy Image Enhancement. Under review. 

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