A VECTOR QUANTIZER FOR IMAGE-RESTORATION

This paper presents a novel technique for image restoration based on n onlinear interpolative vector quantization (NLIVQ). The algorithm perf orms nonlinear restoration of diffraction-limited images concurrently with quantization. It is trained on image pairs consisting of an origi nal image and its diffraction-limited counterpart. The discrete cosine transform is used in the codebook design process to control complexit y. Simulation results are presented that demonstrate improvements in v isual quality and peak signal-to-noise ratio of the restored images.