[01] Ahmed Majeed Hameed, Al-Safwa University College, Department of Computer Technics, Karbala, Iraq. [02] Moaz H. Ali, Al-Safwa University College, Department of Computer Technics, Karbala, Iraq.

Quality assessment of No-Reference (NR) images is the process of finding a novel metric via comparable results with the results of Full-Reference (FR) metrics. Otherwise, it is the process of finding a computational model that can predict the human perceptual system. This research paper focused on the process of NR images quality assessment using the Entropy of First Derivative (EFD). Four color images are used as a sample in the Hue-Saturation-Value (HSV) system. The images were distorting manually with Gaussian blur, and the quality of distorted images was measured using the Normalize Mean Square Error (NMSE) as a FR metric. Then the EFD metric was used to assess the quality of distorted images. The results are compared with the results of the FR to find the efficiency of the NR metric. Therefore, it can contribute that EFD metric could be used in image quality assessment, and the HSV color space is an appropriate color space for this NR metric.

Blurring, EFD, No Reference, HSV, Gaussian Blurring, Quality Assessment, IQA, Blurred Images

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