Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals\nwith the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative\nprocesses that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the\nenhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating\nparameters for the enhancement algorithms.Avariety ofmeasures evaluating the quality of an image enhancementwill be presented\nalong with each measure�s basis for analysis, namely, on image content and image attributes. We also provide guidelines for\nsystematically choosing the proper measure of image quality for medical images
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