TITLE:      Lapped Nonlinear Interpolative Vector Quantization and 
	    Image Super-Resolution
AUTHORS:    D. G. Sheppard, K. Panchapakesan, A. Bilgin, B. R. Hunt
	    and M. W. Marcellin
CONFERENCE: Asilomar Conference on Signals, Systems, and
            Computers, Pacific Grove, California
ABSTRACT:

This letter presents an improved version of an algorithm designed to
perform image restoration via nonlinear interpolative vector quantization
(NLIVQ). The improvement results from using lapped blocks during the
decoding process. THe algorithm is trained on original and diffraction-limited
image pairs. The discrete cosine transform is again used in the codebook design 
process to control complexity. Simulation results are presented which 
demonstrate improvements over the non-lapped algorithm in both
observed image quality and peak signal-to-noise ratio. In addition, the nonlinearity
of the algorithm is shown to produce super-resolution in the restored images.