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Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia

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Client-Oriented Blind Quality Metric for High Dynamic Range Stereoscopic Omnidirectional Vision Systems.

Liuyan Cao¹, Jihao You¹, Yang Song^2,3

¹Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.

Sensors (Basel, Switzerland)

|November 11, 2022

Summary

This study introduces a new blind quality metric for high dynamic range (HDR) stereoscopic omnidirectional images (HSOI). The metric effectively evaluates HSOI distortions, aligning better with human perception.

Keywords:

HDR stereoscopic omnidirectional vision system high dynamic range (HDR)image quality assessment visual perception

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Area of Science:

Computer Vision
Image Processing
Perceptual Quality Assessment

Background:

High dynamic range (HDR) stereoscopic omnidirectional vision systems offer immersive experiences but HSOI quality evaluation is challenging due to distortions.
Existing quality metrics struggle to accurately assess HSOI distortions, necessitating novel approaches.

Purpose of the Study:

To propose a client-oriented blind quality metric for HSOI based on human visual perception.
To address the limitations of current metrics in evaluating HSOI distortions.

Main Methods:

Developed a metric integrating monocular perception module (MPM) and binocular perception module (BPM).
MPM analyzes global color, symmetric/asymmetric, and scene distortions.
BPM utilizes binocular fusion and difference maps, incorporating brightness segmentation and natural scene statistics.

Main Results:

The proposed metric demonstrated superior performance compared to representative quality metrics on the HSOID database.
The metric showed improved consistency with subjective human perception of HSOI quality.

Conclusions:

The developed blind HSOI quality metric effectively captures perceptual distortions.
This metric offers a more accurate and reliable solution for evaluating HSOI quality in immersive vision systems.