An image quality evaluation assessment based on natural scene statistics

Xinxin Chen; Huiquan Wang

doi:10.1117/12.3026336

27 March 2024 An image quality evaluation assessment based on natural scene statistics

Xinxin Chen, Huiquan Wang

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131050Z (2024) https://doi.org/10.1117/12.3026336
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Aiming at the mosaic phenomenon in images, the existing single-feature evaluation indexes of non-referential image quality do not conform to the subjective evaluation of the human eye, and a single-dimensional evaluation standard of edge slope consistency is proposed. For the super-resolution reconstruction image quality evaluation research, the proposed multi-dimensional non-referential image quality evaluation index, can simulate the subjective evaluation of the calculation of image quality real-time scoring, and distinguish between different super-resolution reconstruction algorithm results. Design and analysis of the experimental results, the unidimensional and multi-dimensional image quality evaluation standard proposed in this paper is more in line with the subjective evaluation of the human eye, and at the same time, combined with the database LIVE and QADS compared with the other image evaluation index test, which illustrates the superiority and versatility of the multi-dimensional image quality index.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinxin Chen and Huiquan Wang "An image quality evaluation assessment based on natural scene statistics", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131050Z (27 March 2024); https://doi.org/10.1117/12.3026336

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