A Modified Structural Similarity Index With Low Computational Complexity

Bong, David Liang Bong and Loh, Woei-Tan (2019) A Modified Structural Similarity Index With Low Computational Complexity. In: Proceedings of 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 3-6 December 2019, Taipei, Taiwan.

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Official URL: https://ieeexplore.ieee.org/xpl/conhome/1001126/al...

Abstract

Structural Similarity Index (SSIM) has been a benchmark method for image quality assessment (IQA). This is due to its simplicity and good performance. In this paper, we propose a modified SSIM method that reduces the computational complexity with comparable performance. Instead of computing similarities on local windows, the proposed method computes global information similarities. The proposed method omits the luminance part similarities in SSIM due to its less crucial role in assessing image quality. From the presented results, the proposed method has a much lower computational time and comparable performance compared to SSIM.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: image quality, computational complexity, SSIM I, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 26 Dec 2019 06:14
Last Modified: 05 Aug 2020 07:20
URI: http://ir.unimas.my/id/eprint/28483

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