relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4143/
title: Compression Artifacts Image Patch database for  Perceptual Quality Assessment
creator: Pham Thanh, Tung
creator: Ma Thi, Chau
creator: Nguyen Manh, Tuan
creator: Le Dinh, Linh
creator: Le Thanh, Ha
subject: Information Technology (IT)
description: 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.
date: 2020
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4143/1/kse__2020__Copy_.pdf
identifier:   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.