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View all- Li CLi JLuo Z(2021)An impulse noise removal model algorithm based on logarithmic image prior for medical imageSignal, Image and Video Processing10.1007/s11760-020-01842-wOnline publication date: 19-Jan-2021
To effectively remove impulse noise in natural images while keeping image details intact, this paper proposes a dictionary learning based impulse noise removal (DL-INR) algorithm, which explores both the strength of the patch-wise adaptive dictionary ...
Removing impulse noise from digital images without altering image details is a central problem in image processing. There is a huge number of filters in the literature that deal with this problem. In the state-of-the-art filters, the removal of impulse ...
In this paper, we address the image restoration case that includes both blurring and impulse noise. To recover an image with abundant features, we propose an L0 regularized cartoon-texture model for the simultaneous deblurring and ...
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