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New metric assesses stereoscopic omnidirectional image quality

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new metric called the Predictive Coding Hierarchy (PCH) for assessing the quality of stereoscopic omnidirectional images (SOIs). This metric is inspired by the human visual system and aims to address challenges posed by SOIs, such as variable fields of view and binocular vision. The PCH incorporates modules for local cyclopean perception, global predictive perception, and a visual quality regressor to infer perceptual quality. AI

RANK_REASON The item is a research paper detailing a new metric for image quality assessment. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

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New metric assesses stereoscopic omnidirectional image quality

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The item is a research paper detailing a new metric for image quality assessment. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Wei Zhou, Andr\'e Kaup ·

    Blind Stereoscopic Omnidirectional Image Quality Assessment Using Predictive Coding Hierarchy

    arXiv:2608.28798v1 Announce Type: new Abstract: Stereoscopic omnidirectional images (SOIs) have provided users with newly immersive quality of experience in virtual reality environments. However, developing efficient and accurate perceptual quality assessment metrics for SOIs rem…

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