MATLAB PROJECT
A Wavelet-Predominant
Algorithm Can Evaluate Quality of THz Security Image and Identify Its Usability
Abstract:
This paper presents an aggregate wavelet-predominant algorithm to
measure the distortions in THz security images. The algorithm integrates a
spectral-based sharpness estimator, a noise estimator derived alpha-stable
model and an overall viewing experience estimator based on free-energy
principle. Among them, the greater weight is assigned to the spectral-based
sharpness estimator considering that the main quality factor in THz security
image is sharpness. To verify the feasibility of the proposed metric, we
construct the THz security image dataset including a total of 181 THz security
images, and each image has the mean opinion score (MOS) collected via
subjective quality evaluation experiment. Quantitative experimental results on
the constructed THz security image dataset show that the aggregate
wavelet-predominant estimator produces the promising overall performance for
the estimation of MOS values, with PLCC, SROCC, and RMSE of 0.900, 0.873, and
0.386, respectively. This performance is superior to other opinion-unaware
approaches, viz., FISBLIM, SISBLIM, NIQE, CPBD, SINE, S3, FISH, and noise
estimator. The determination coefficient (R²) of linear regression between
reference and predicted MOSs is 0.81. The result of Bland-Altman analysis further
validates that the aggregate wavelet-predominant estimator can substitute for
the subjective IQA of THz security image, with approximately 94.5% of data
points locating within the limits of agreement. For usability identification,
the wavelet-predominant estimator gives the satisfactory results, with
accuracy, precision, recall rate, and false positive rate of 84.0%, 79.8%,
95.0%, and 29.6%, respectively. Furthermore, the potential application
perspectives of the proposed metric can refer to commercial applications
(guarantee THz security images of good quality) and scientific researches
(assist in software development for THz security image analysis).
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