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A Comprehensive Survey on Deep Neural Image Deblurring
Image deblurring tries to eliminate degradation elements of an image causing blurriness and improve the quality of an image for better texture and object visualization.
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection
An analysis of high-dimensional data can offer a detailed description of a system but is often challenged by the curse of dimensionality.
Blind Image Deblurring based on Kernel Mixture
Different from recent studies that impose some priors on the latent image, this paper regulates the structure of the blur kernel.
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