Review of subjective quality assessment methodologies and standards for compressed images evaluation

Michela Testolina; Touradj Ebrahimi

doi:10.1117/12.2597813

1 August 2021 Review of subjective quality assessment methodologies and standards for compressed images evaluation

Michela Testolina, Touradj Ebrahimi

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 118420Y (2021) https://doi.org/10.1117/12.2597813
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Lossy image compression algorithms are usually employed to reduce the storage space required by the large number of digital pictures that are acquired and stored daily on digital devices. Despite the gain in storage space, these algorithms might introduce visible distortions on the images. However, users typically value the visual quality of digital media and do not tolerate any distortion. Objective image quality assessment metrics propose to predict the amount of such distortions as perceived by human subjects, but a limited number of studies have been devoted to the objective assessment of the visibility of artifacts on images as seen by human subjects. In other words, most objective quality metrics do not indicate when the artifacts become imperceptible to human observers. An objective image quality metric that assesses the visibility of artifacts could, in fact, drive the compression methods toward a visually lossless approach. In this paper, we present a subjective image quality assessment dataset, designed for the problem of visually lossless quality evaluation for image compression. The distorted images have been labeled, after a subjective experiment held with crowdsourcing, with the probability of the artifact to be visible to human observers. In contrast to other datasets in the state of the art, the proposed dataset contains a big number of images along with multiple distortions, making it suitable as a training set for a learning-based approach to objective quality assessment.

Conference Presentation

Citation Download Citation

Michela Testolina and Touradj Ebrahimi "Review of subjective quality assessment methodologies and standards for compressed images evaluation", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118420Y (1 August 2021); https://doi.org/10.1117/12.2597813

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available