relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4197/
title: End-to-end Image Patch Quality Assessment for Image/Video with Compression Artifacts
creator: Tung, Pham Thanh
creator: Xiem, Van Hoang
creator: Nghia, Nguyen Trung
creator: Duong, Dinh Trieu
creator: Ha, Le Thanh
subject: Electronics and Communications
subject: Electronics and Computer Engineering
subject: ISI-indexed journals
description: 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.
publisher: IEEE
date: 2020-11
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4197/1/IEEE%20ACCESS_TUNG_XIEM_paper.pdf
identifier:   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