Restoration of multispectral images distorted by spatially nonuniform camera motion

The majority of known methods for restoration of distorted multispectral images use a model of blur as the convolution of the initial image with a uniform kernel. However, the image blur in real low-light conditions is often spatially nonuniform, since the camera in an actual shoot is shaken and rotated in three dimensions while its shutter is open. A method for “blind” locally adaptive image restoration in the domain of sliding orthogonal transform is proposed. It is assumed that the signal blur operator is spatially homogeneous in a small-sized sliding window. The known approaches to the restoration of color images blurred by spatially nouniform camera motion are compared to the proposed algorithm.

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