Abstract #2496
Comparison of BRISQUE and SSIM as Image Quality Assessment (IQA) on MR optic nerve images.
Li Sze Chow 1 , Raveendran Paramesran 1 , and Martyn Paley 2
1
Electrical Engineering, University of
Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia,
2
Academic
Radiology, University of Sheffield, Sheffield, South
Yorkshire, United Kingdom
A new No-Reference Image Quality Assessment (NR-IQA)
model called Blind/referenceless image spatial quality
evaluator (BRISQUE) uses scene statistics of locally
normalized luminance coefficients to quantify possible
losses of naturalness in the image. Structural
Similarity Index (SSIM) is one of the most commonly used
Full-Reference IQA (FR-IQA) method. This study employed
the BRISQUE and SSIM methods in comparison in assessing
the quality for four types of MR optic nerve images. It
was verified that BRISQUE is more appropriate than SSIM
in evaluating the quality of MR images; however
modification will be required to re-train the SVM
library.
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