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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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