LIVE Multiply Distorted Image Quality Database

Author: LIVE - University of Texas

Partner: No

Contact: Dinesh Jayaraman (dinesh.jayaraman123@gmail.com) - Graduate student UT Austin in 2012 Anish Mittal (mittal.anish@gmail.com) - Graduate student at UT Austin Dr. Anush K. Moorthy (anushmoorthy@gmail.com) - Graduated from UT Austin in 2012 Dr. Alan C. Bovik (bovik@ece.utexas.edu) - Professor, Dept. of ECE, UT Austin

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Updated:

Subjective scores: true

Total: 405

SRC: 15

Ratings: 37

Resolution: 1280x720

Method: SS

Description

A subjective study was conducted in two parts to obtain human judgments on images corrupted under two multiple distortion scenarios: 1) image storage where images are first blurred and then compressed by a JPEG encoder. 2) camera image acquisition process where images are first blurred due to narrow depth of field or other defocus and then corrupted by white Gaussian noise to simulate sensor noise.

Access

Database can be obtained from the following link: http://live.ece.utexas.edu/research/quality/LIVEmultidistortiondatabase.rar Database is password protected, please fill the form and the information will be sent to you: https://docs.google.com/spreadsheet/viewform?formkey=dG1UVURtbDI4Qk8ybHpjTDQwMjBfNHc6MA#gid=0

License

Link: http://live.ece.utexas.edu/research/quality/copyright.htm Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this database (the images, the results and the source files) and its documentation for any purpose, provided that the copyright notice in its entirety appear in all copies of this database, and the original source of this database, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) and Center for Perceptual Systems (CPS, http://www.cps.utexas.edu) at the University of Texas at Austin (UT Austin, http://www.utexas.edu), is acknowledged in any publication that reports research using this database.

References and Citation

We are making the LIVE Multiply Distorted Image Quality Database available to the research community free of charge. If you use this database in your research, we kindly ask that you reference our papers listed below [JMM12].

References

  • JMM12: Jayaraman, D., Mittal, A., Moorthy, A. K. and Bovik, A. C., Objective Quality Assessment of Multiply Distorted Images, Proceedings of Asilomar Conference on Signals, Systems and Computers, 2012.