Error-parameter analysis based blind identification and super-resolution restoration algorithm
A new implementation scheme of regularization super-resolution restoration algorithm was addressed, which could remove spatial integration performed by the sensors in down-sampling process and restrain edge artifact caused by zero-padding up-sampling operation. The implementation scheme could be app...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74651387/ |
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| Summary: | A new implementation scheme of regularization super-resolution restoration algorithm was addressed, which could remove spatial integration performed by the sensors in down-sampling process and restrain edge artifact caused by zero-padding up-sampling operation. The implementation scheme could be applied to error-parameter analysis for accurate blur identification. If motion estimation was inaccurate, searching algorithm could be combined with error-parameter analysis to reduce computation cost. Stimulation results demonstrate the effectiveness of the new implementation scheme and blur identification. |
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| ISSN: | 1000-436X |