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IEEE Philadelphia Chapter of CSS/CASS/SMCS
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IEEE Philadelphia Chapter of CSS/CASS/SMCS
Date: October 29, 2025
Time: 7:00 PM EST to 8:00 PM
Location: Virtual
Bio-Inspired Image Quality Assessment: Bridging Human and Computer Vision
Data Quality Assessment (DQA) involves developing computational models to automatically estimate the perceived quality of data, such as images, videos, and speech. Recent advancements in this field leverage bio-inspired approaches, drawing insights from computational neuroscience to mimic the human visual system. These methods help bridge the gap between human and machine perception, allowing computers to "see" more like we do. A key challenge within this domain is Image Quality Assessment (IQA), especially as images often suffer distortions during acquisition, compression, storage, and transmission. This talk examines the latest advancements in perception-guided quality assessment for single images, questioning the continued reliance on traditional metrics such as Mean Squared Error (MSE) and presenting a case for more advanced methods. We will discuss how models inspired by biological vision offer novel, robust, and computationally efficient techniques for assessing image quality. We will also provide a synopsis of recent breakthroughs in single-image "blind" IQA and examine how these advancements are shaping the future of visual technology—from photography and video to medical imaging. This session will showcase our latest research, comparing it to established benchmarks and illustrating how it enhances our understanding of biological visual systems. Participants will gain insight into how bio-inspired computation is revolutionizing image quality assessment and ushering in a new era of visual technology.
Register here.
https://events.vtools.ieee.org/m/501616