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A vector quantizer for image restoration

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5 Author(s)
Sheppard, D.G. ; Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA ; Bilgin, A. ; Nadar, M.S. ; Hunt, B.R.
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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

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Image Processing, IEEE Transactions on  (Volume:7 ,  Issue: 1 )