A vector quantizer for image restoration.

Autor: Sheppard DG, Bilgin A, Nadar MS, Hunt BR, Marcellin MW
Jazyk: angličtina
Zdroj: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society [IEEE Trans Image Process] 1998; Vol. 7 (1), pp. 119-24.
DOI: 10.1109/83.650857
Abstrakt: This paper presents a novel technique for image restoration based on nonlinear interpolative vector quantization (NLIVQ). The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an original image and its diffraction-limited counterpart. The discrete cosine transform is used in the codebook design process to control complexity. Simulation results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images.
Databáze: MEDLINE