Referenced Items are not available for this document.
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
Published in:
Image Processing, IEEE Transactions on
(Volume:7
,
Issue:
1
)
Date of Publication: Jan 1998
- Page(s):
- 119 - 124
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 5814360
- Digital Object Identifier :
- 10.1109/83.650857
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jan 1998
- Sponsored by :
- IEEE Signal Processing Society
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