Compression Artifacts Image Patch database for Perceptual Quality Assessment

Abstract

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.