Neural network-based image restoration using scaled residual with space-variant regularization
✍ Scribed by E. Salari; S. Zhang
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 276 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0899-9457
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✦ Synopsis
Abstract
Image restoration is aimed to recover the original scene from its degraded version. This paper presents a new method for image restoration. In this technique, an evaluation function which combines a scaled residual with space‐variant regularization is established and minimized using a Hopfield network to obtain a restored image from a noise corrupted and blurred image. Simulation results demonstrate that the proposed evaluation function leads to a more efficient restoration process which offers a fast convergence and improved restored image quality. © 2003 Wiley Periodicals, Inc. Int J Imaging Syst Technol 12, 247–253, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10034