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All Journal Advance Sustainable Science, Engineering and Technology (ASSET)
Siraj Muneer Mahboba
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Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Journal : Advance Sustainable Science, Engineering and Technology (ASSET)

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Unifying Dual-Pyramid Structure and Y–G Channel Synergy for Full-Reference Image Quality Assessment Ali Abdulazeez Mohammed Baqer Qazzaz; Yousif Samer Mudhafar; Siraj Muneer Mahboba
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2783

Abstract

Standard metrics such as SSIM often overlook complex chromatic distortions, creating a gap between objective scores and human judgment. To address this, we present the Synergistic Structural Similarity Index (SSSI), a metric grounded in a novel dual-pyramid strategy that integrates Gaussian-blurred stability with direct subsampling sharpness. Our method departs from luminance-only analysis by employing an equal, synergistic partnership between the luminance (Y) and Green (G) channels, mirroring the eye's spectral sensitivity. On the KADID-10k dataset, SSSI achieves an SROCC of 0.7793. This represents a significant 4% performance gain over the standard SSIM baseline, demonstrating that integrating chromatic data with dual-scale structural analysis provides a more accurate proxy for human visual perception.
Co-Authors Ali Abdulazeez Mohammed Baqer Qazzaz Yousif Samer Mudhafar