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Geophysical inversion algorithms often introduce artifacts near sharp intensity transitions and image boundary. We presented a iterative restoration algorithms to restore the true inversion image and remove the artifacts. We also presented a ringing metric to evaluate the quality of images restored based on the human visual system. According to types of ringing artifacts, two ringing metrics is used...
The boundary ringing artifacts always appears near image boundary after deconvolution. We presented a new deconvolution image boundary ringing metric to evaluate the quality of images. First, we remove the deconvolution image boundary ringing artifact using the PDE-based method, and then we compare it with the degraded image to evaluate the boundary ringing artifact. The experimental results validate...
The edge ringing artifacts always appear near the image edge after deconvolution and degrade the image quality. In this paper, we presented a new deconvolution image edge ringing metric to evaluate the quality of image. The proposed approach is able to remove the deconvolution image edge ringing artifact by using a PDE (Partial Differential Equation)-based method and it will be compared with the degraded...
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