A vector quantizer for image restoration

Author

Sheppard, David G. ; Bilgin, Ali ; Hunt, Bobby R. ; Marcellin, Michael W. ; Nadar, Mariappan S.

Author_Institution

Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

439

Abstract

An algorithm based on nonlinear interpolative vector quantization (NLIVQ) is presented which accomplishes image restoration concurrently with image compression. The algorithm is applied to the problem of deblurring noise-free diffraction-limited images by training with a large set of blurred and original image pairs. Simulation results demonstrate a quantitative improvement in images processed by the algorithm, as measured by image peak signal-to-noise ratio (PSNR), as well as a significant improvement in perceived image quality. A theoretical formulation of the algorithm is presented along with a discussion of implementation, training and simulation results

Keywords

image coding; image restoration; interpolation; vector quantisation; PSNR; image compression; image deblurring; image peak signal-to-noise ratio; image restoration; noise-free diffraction-limited images; nonlinear algorithm; nonlinear interpolative vector quantization; perceived image quality; simulation results; training; Diffraction; Image restoration; Nonlinear optics; Optical distortion; Optical signal processing; PSNR; Signal processing algorithms; Signal resolution; USA Councils; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560525

Filename

560525