Image artifacts caused by image deconvolution usually make people feel regretful. Especially for image deconvolution
algorithm which is used for restoring motion blurred image. The artifacts removing is challenging for conventional
image deconvolution approach. In this paper, we propose a novel method that removes artifacts from a deconvolved
image which caused by image deconvolution. Firstly, blur method is used to get a blurred version of the original artifacts
image. Secondly, gradient projection algorithm is used to adjust the gradient of the original image with the blurred image
for reference. Finally, the Poisson solution is adopted to reconstruct the final high quality and artifacts free image.
Moreover, the artifacts are also reduced at the Poisson interpolation stage. The experiments demonstrate that our
algorithms are efficient.
Photographs captured with sufficient exposure under low-light conditions are usually blurred if there are moving objects.
Under some circumstances, the restoration is challenging because of complicated motion blur such as rotation and
distortion. In this paper, we propose a novel method to replace the motion blur objects of blurred image with the
corresponding sharp objects of flash image using Poisson interpolation. First, assisted by the sufficient exposure blurred
image, we adopt graph-cut to minimize a simple cost function and extract the intensely lightened sharp objects in the
flash image. Second, we interpolate the extracted sharp objects into the blurred image, and then remove the remnant blur
around the sharp objects through gradient domain Poisson interpolation. Further, a simple method is designed that the
user can interactively adjust the brightness and contrast of flash area in the synthetical image. The experiments
demonstrate that our algorithms are efficient.
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