title: A vector quantizer for image restoration.
abstract: 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.
authors.forename: D G
authors.initials: DG
authors.lastname: Sheppard
authors.forename: A
authors.initials: A
authors.lastname: Bilgin
authors.forename: M S
authors.initials: MS
authors.lastname: Nadar
authors.forename: B R
authors.initials: BR
authors.lastname: Hunt
authors.forename: M W
authors.initials: MW
authors.lastname: Marcellin