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Compression Artifacts Image Patch database for Perceptual Quality Assessment

Pham Thanh, Tung and Ma Thi, Chau and Nguyen Manh, Tuan and Le Dinh, Linh and Le Thanh, Ha (2020) Compression Artifacts Image Patch database for Perceptual Quality Assessment. In: KSE-2020.

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Ground truth is one of the most important component for training, testing, and benchmarking algorithms for objective quality assessment. In this paper, we propose an image patch quality database with compression artifacts. We create a new database of image patches with High Efficiency Video Coding (HEVC) compression artifacts. Then, the subjective test is conducted in a controlled environment to obtain the ground truth of image patch quality, where we collect differential mean opinion scores (DMOS) from a larger amount of observers. Finally, the rank order correlation factors between DMOS and a set of popular image quality metrics are calculated and presented. The proposed database is expected for learning patch based IQA model for block size in video rate-distortion optimization.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Ma Th� Châu
Date Deposited: 05 Dec 2020 13:34
Last Modified: 21 Dec 2020 09:26

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