VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations

This article presents VQone, a graphical experiment builder, written as a MATLAB toolbox, developed for image and video quality ratings. VQone contains the main elements needed for the subjective image and video quality rating process. This includes building and conducting experiments and data analysis. All functions can be controlled through graphical user interfaces. The experiment builder includes many standardized image and video quality rating methods. Moreover, it enables the creation of new methods or modified versions from standard methods. VQone is distributed free of charge under the terms of the GNU general public license and allows code modifications to be made so that the program’s functions can be adjusted according to a user’s requirements. VQone is available for download from the project page (http://www.helsinki.fi/psychology/groups/visualcognition/).

[1]  D. Chandler Seven Challenges in Image Quality Assessment: Past, Present, and Future Research , 2013 .

[2]  Björn Lidestam Audiovisual presentation of video-recorded stimuli at a high frame rate , 2014, Behavior research methods.

[3]  D. Amnon Silverstein,et al.  Efficient method for paired comparison , 2001, J. Electronic Imaging.

[4]  Matthew Flatt,et al.  PsyScope: An interactive graphic system for designing and controlling experiments in the psychology laboratory using Macintosh computers , 1993 .

[5]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[6]  D. Tolhurst,et al.  Discrimination of natural scenes in central and peripheral vision , 2011, Vision Research.

[7]  Lina J. Karam,et al.  A MATLAB-based framework for image and video quality evaluation , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).

[8]  Jonathan W. Peirce,et al.  PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.

[9]  George Sperling,et al.  The information available in brief visual presentations. , 1960 .

[10]  Moreno I. Coco,et al.  Classification of visual and linguistic tasks using eye-movement features. , 2014, Journal of vision.

[11]  Jukka Häkkinen,et al.  Concurrent explanations can enhance visual decision making. , 2014, Acta psychologica.

[12]  Jukka Häkkinen,et al.  What do users really perceive: probing the subjective image quality , 2006, Electronic Imaging.

[13]  Ronald A. Rensink Limits to the usability of iconic memory , 2014, Front. Psychol..

[14]  Jan Theeuwes,et al.  OpenSesame: An open-source, graphical experiment builder for the social sciences , 2011, Behavior Research Methods.

[15]  Alan C. Bovik,et al.  Automatic Prediction of Perceptual Image and Video Quality , 2013, Proceedings of the IEEE.

[16]  Per B. Sederberg,et al.  PyEPL: A cross-platform experiment-programming library , 2007, Behavior research methods.

[17]  Rafal Mantiuk,et al.  Comparison of Four Subjective Methods for Image Quality Assessment , 2012, Comput. Graph. Forum.

[18]  Mikko Nuutinen,et al.  CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms , 2015, IEEE Transactions on Image Processing.

[19]  Mikko Nuutinen,et al.  A new method for evaluating the subjective image quality of photographs: dynamic reference , 2014, Multimedia Tools and Applications.

[20]  Jukka Häkkinen,et al.  Evaluating the multivariate visual quality performance of image-processing components , 2008, TAP.