MDID: A multiply distorted image database for image quality assessment

Volume: 61, Pages: 153 - 168
Published: Jan 1, 2017
Abstract
In this paper, we present a new database, the multiply distorted image database (MDID), to evaluate image quality assessment (IQA) metrics on multiply distorted images. The database contains 20 reference images and 1600 distorted images. The latter images are obtained by contamination of the former with multiple distortions of random types and levels, so multiple types of distortions appear in each distorted image. Pair comparison sorting (PCS)...
Paper Details
Title
MDID: A multiply distorted image database for image quality assessment
Published Date
Jan 1, 2017
Volume
61
Pages
153 - 168
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