Computer-Aided Visual Function Assessment Using Subjective Image Quality Evaluation Metrics

2017 ◽  
pp. 57-65
Author(s):  
Haoting Liu ◽  
Beibei Yan ◽  
Ming Lv ◽  
Junlong Wang ◽  
Xuefeng Wang ◽  
...  
Keyword(s):  
Image Quality ◽  
Visual Function ◽  
Quality Evaluation ◽  
Evaluation Metrics ◽  
Subjective Image Quality ◽  
Image Quality Evaluation ◽  
Computer Aided ◽  
Function Assessment

scholarly journals IMAGE QUALITY EVALUATION METRICS BASED ON HWD

2009 ◽  
Vol 28 (1) ◽  
pp. 72-76
Author(s):  
Wen LU ◽  
Xin-Bo GAO ◽  
Kai ZENG ◽  
Li-Huo HE
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Metrics ◽  
Image Quality Evaluation

Image Quality of Privacy Filters for Displays

1998 ◽  
Vol 42 (22) ◽  
pp. 1565-1569
Author(s):  
Gary S. Olacsi ◽  
Joy Kempic ◽  
Robert J. Beaton
Keyword(s):  
Image Quality ◽  
Human Factors ◽  
Quality Evaluation ◽  
Optical Quality ◽  
Viewing Angle ◽  
Ambient Illumination ◽  
Subjective Image Quality ◽  
Image Quality Evaluation ◽  
Contrast Polarity

This paper presents an image quality evaluation of privacy filters for CRT display workstations. A photometric procedure was developed to evaluate the optical quality of privacy filters across horizontal display viewing angles. Then, the procedure was applied to two commercially-available privacy filter products. The results of the optical evaluation were compared with subjective image quality judgments of the privacy-filtered CRTs viewed under various ambient illumination, screen contrast polarity, and viewing angle conditions. The findings establish a human factors basis and procedure for objectively characterizing the image quality of privacy filters used on CRT displays.

scholarly journals Analysis and Optimization of Image Quality Evaluation Function in Computer-aided Alignment of Precision Optical System

2020 ◽  
Vol 14 (6) ◽  
pp. 29
Author(s):  
Yong Luo
Keyword(s):  
Image Quality ◽  
Optical System ◽  
Quality Evaluation ◽  
Direct Selection ◽  
Evaluation Function ◽  
Image Evaluation ◽  
Image Quality Evaluation ◽  
Computer Aided ◽  
The Relationship ◽  
Selection Of

The consistent application of computer-aided alignment technology could surmount aimlessness and significantly shorten the align period of complex optical systems. Wherein, the appropriate system image evaluation function is the primary condition to solve the system misalignment successfully. This paper first establishes the relationship between the amount of misalignment and the system aberration through mathematical modelling and then analyzes the relationship between Zernike coefficient, geometric aberration and system image quality in detail, proposes to construct a system image evaluation system using the idea of Zernike coefficient weighting to solve the problem of numerical instability and imprecision of the solutions caused by the direct selection of Zernike coefficients. Subsequently, the experimental alignment of an infrared optical system was performed using the optical system image quality evaluation method established in this paper. The alignment results showed that the RMS value of the system image quality improved by 24.8% under the same solving algorithm compares to the direct selection of the Zernike coefficient and the weighted Zernike coefficient as the system image quality evaluation function. Therefore, the application of the weighted Zernike coefficient-based optical system image evaluation function proposed in this paper is reasonable, feasible, and effective in the computer-aided alignment process.

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