LIVE Multiply Distorted Image Quality Database
Subjective studies have been conducted in the past to obtain human judgments of visual quality on distorted images in order, among other things, to benchmark objective image quality assessment (IQA) algorithms. Existing subjective studies primarily have records of human ratings on images that were corrupted by only one of many possible distortions. However, images available to consumers usually reaches them after several stages - acquisition, compression, transmission and reception. In this pipeline, they may suffer multiple distortions. Towards broadening the corpora of records of human responses to visual distortions, we recently conducted a study on two types of multiply distorted images to obtain human judgments of the visual quality of such images.
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:
Dinesh Jayaraman, Anish Mittal, Anush K. Moorthy and Alan C. Bovik, Objective Quality Assessment of Multiply Distorted Images, Proceedings of Asilomar Conference on Signals, Systems and Computers, 2012.
Database can be obtained from the following link: Database Release.Database is password protected, please fill THIS form and the information will be sent to you.
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.
InvestigatorsQuality Assessment research at LIVE is being conducted in collaboration with the Video Aware Wireless Networks (VAWN) program of the Intel & Cisco and the Center for Perceptual Systems (CPS).
The investigators in this research are:
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The following papers are to be cited in the bibliography whenever the
database is used as:
· Dinesh Jayaraman, Anish Mittal, Anush K. Moorthy and Alan C. Bovik, Objective Quality Assessment of Multiply Distorted Images, Proceedings of Asilomar Conference on Signals, Systems and Computers, 2012.
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ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN
IF THE UNIVERSITY OF TEXAS AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY
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