Title: An improved blind/referenceless image spatial quality evaluator algorithm for image quality assessment

Authors: Xuesong Li; Jinfeng Pan; Jianrun Shang; Alireza Souri; Mingliang Gao

Addresses: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, China ' School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, China ' School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, China ' Department of Computer Engineering, Haliç University, Istanbul, Turkey ' School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, China

Abstract: Image quality assessment (IQA) methods are generally studied in the spatial or transform domain. Due to the BRISQUE algorithm evaluating the quality of an image only based on its natural scene statistics of the spatial domain, the frequency features that are extracted from the modulation transfer function (MTF) are applied to improve its performance. MTF is estimated based on the slanted-edge method. The two-dimensional grey fitting algorithm is utilised to estimate the edge slope more accurately. Then the three-order Fermi function is utilised to match the preliminary estimated edge spread function to reduce the aliasing influence on MTF estimation. The features such as crucial frequency and the MTF value at Nyquist frequency are calculated and adopted to the BRISQUE method to assess the image quality. Experimental results on the image quality assessment databases illustrated that the proposed method outperforms the BRISQUE method and some other common methods, based on the linear and nonlinear correlation between the image quality assessed by the methods and their subjective value.

Keywords: image quality assessment; IQA; modulation transfer function; MTF; Fermi function; feature extraction.

DOI: 10.1504/IJCSE.2024.136250

International Journal of Computational Science and Engineering, 2024 Vol.27 No.1, pp.48 - 56

Received: 21 May 2022
Received in revised form: 21 Jun 2022
Accepted: 25 Jul 2022
Published online: 25 Jan 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article