Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior

Algorithm 1

Joint image deblurring and matching with blurred invariant-based sparse representation prior.

	Input: a blurred real-time image and a clear reference image
	Output: the predicted matching position , the recovered image , and the estimated blur kernel
	Preparation: construct the image dictionary from the reference image, the coordinate dictionary , the blur invariant feature ,  and dictionary ;
	Initialization: initialize by solving sparse representation of w.r.t , and the restored image as ;
	for do
	Updating the blur kernel by solving equation (13);
	Updating the recovered image by solving equation (15);
	Updating the sparse coefficient by solving equation (21);
	end
	Predicting the matching position by equation (23);