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End-to-end Image Patch Quality Assessment for Image/Video with Compression Artifacts

Tung, Pham Thanh and Xiem, Van Hoang and Nghia, Nguyen Trung and Duong, Dinh Trieu and Ha, Le Thanh (2020) End-to-end Image Patch Quality Assessment for Image/Video with Compression Artifacts. IEEE Access . ISSN 2169-3536

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In this paper, we present an experimental image quality assessment (IQA) method for image/ video patches with compression artifacts. Using the High Efficiency Video Coding (HEVC) standard, we create a new database of image patches with compression artifacts. Then, we conduct a completed subjective testing process to obtain the ‘ground truth’ quality scores for the mentioned database. Finally, we employ an end-to-end learning method to estimate the IQA model for the patches with HEVC compression artifacts. In such proposed method, a modified convolutional neural network (CNN) architecture is exploited for feature extraction while an adaptive moment estimation optimizer solution is used to perform the training process. Experimental results show that the proposed end-to-end IQA method significantly outperforms the relevant IQA benchmarks, especially when the compression artifacts are strongly realized.

Item Type: Article
Subjects: Electronics and Communications
Electronics and Communications > Electronics and Computer Engineering
ISI-indexed journals
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr. Xiem HoangVan
Date Deposited: 08 Dec 2020 15:31
Last Modified: 08 Dec 2020 15:31

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