Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

CUID: a new study of perceived image quality and its subjective assessment

Lévêque, Lucie, Yang, Ji, Yang, Xiaohan, Guo, Pengfei, Dasalla, Kenneth, Li, Leida, Wu, Yingying and Liu, Hantao ORCID: https://orcid.org/0000-0003-4544-3481 2020. CUID: a new study of perceived image quality and its subjective assessment. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020), United Arab Emirates, 25-28 October 2020.

[thumbnail of ICIP2020_CUID.pdf]
Preview
PDF - Accepted Post-Print Version
Download (686kB) | Preview

Abstract

Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of real-world digital content. Perceptual evidence from human subjects serves as a grounding for the development of advanced IQA algorithms. It is thus critical to acquire reliable subjective data with controlled perception experiments that faithfully reflect human behavioural responses to distortions in visual signals. In this paper, we present a new study of image quality perception where subjective ratings were reliably collected in a controlled laboratory environment and for a large degree of stimulus content variability. We investigate how quality perception is affected by a combination of different categories of images and different types and levels of distortions. The database will be made publicly available to facilitate calibration and validation of IQA algorithms.

Item Type: Conference or Workshop Item (Paper)
Status: In Press
Schools: Computer Science & Informatics
Date of First Compliant Deposit: 3 June 2020
Date of Acceptance: 16 May 2020
Last Modified: 07 Nov 2022 10:24
URI: https://orca.cardiff.ac.uk/id/eprint/132139

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics