Optimized Parameters for Bell-Shaped Error Function in Image Denoising
Adaptive image denoising algorithms rely on an error function that measure the distance between an estimated result and expectations. Selection of the error function and its parameters are crucial for a successful denoising implementation. In this paper, a method for determining close-to-optimal par...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Anadolu University
2017-12-01
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| Series: | Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering |
| Subjects: | |
| Online Access: | http://dergipark.gov.tr/aubtda/issue/31308/346122?publisher=anadolu |