Berkay Kanberoglu1, Lina J. Karam1,
David Frakes1,2
1School of Electrical,
Computer & Energy Engineering, Arizona State University, Tempe, AZ,
United States; 2School of Biological & Health Systems
Engineering, Arizona State University, Tempe, AZ, United States
An alternative method to ABSINTHE (Atlas based sparsification of image and theoretical estimation) is proposed. ABSINTHE achieves sparsification by performing a principle component analysis (PCA) on the aliased undersampled image. Better sparsification can be achieved by using K-SVD. K-SVD provides flexibility of dictionary design parameters which can be important for the image approximation. The proposed method shows that K-SVD is able to reconstruct similar quality images in comparison to the traditional ABSINTHE method while using half the number of basis images required by PCA.