This work presents a no-reference image sharpness metric based on human blur perception for JPEG2000 compressed image.\nThe metric mainly uses a ringing measure. And a blurring measure is used for compensation when the blur is so severe that\nringing artifacts are concealed.We used the anisotropic diffusion for the preliminary ringingmap and refined it by considering the\nproperty of ringing structure.The ringing detection of the proposed metric does not depend on edge detection, which is suitable\nfor high degraded images. The characteristics of the ringing and blurring measures are analyzed and validated theoretically and\nexperimentally. The performance of the proposed metric is tested and compared with that of some existing JPEG2000 sharpness\nmetrics on three widely used databases.Theexperimental results showthat the proposed metric is accurate and reliable in predicting\nthe sharpness of JPEG2000 images.
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