MDID: A multiply distorted image database for image quality assessment

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)...