%0 Conference Paper
%A Pham Thanh, Tung
%A Ma Thi, Chau
%A Nguyen Manh, Tuan
%A Le Dinh, Linh
%A Le Thanh, Ha
%B KSE-2020
%D 2020
%F SisLab:4143
%T Compression Artifacts Image Patch database for  Perceptual Quality Assessment
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4143/
%X 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.