A Novel Image Definition Assessment Index for Image Restoration
| Autor: | Ya-Duan Ruan, Xiao-Gang Cheng, Ming-Wei An, Qi-Mei Chen |
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| Rok vydání: | 2013 |
| Předmět: |
Correctness
Relation (database) business.industry Materials Science (miscellaneous) Process (computing) Evaluation function General Business Management and Accounting Measure (mathematics) Industrial and Manufacturing Engineering Image (mathematics) Bounded variation Computer vision Artificial intelligence Business and International Management General Agricultural and Biological Sciences business Image restoration Mathematics |
| Zdroj: | Acta Automatica Sinica. 39:418-423 |
| ISSN: | 1874-1029 |
| DOI: | 10.1016/s1874-1029(13)60041-5 |
| Popis: | In order to measure the image definition of deblurred image in the process of image restoration, a novel image definition assessment index for image restoration is studied, that is total bounded variation (TBV). It is expounded in theory that there is some relation between image definition and its TBV, and based on the measurement index proposed, a better quality of reconstructed image is obtained. Furthermore, the restored image is the most clear when its TBV is extremal. Finally, the TBV of original clear image, blurred images and restored images are presented and compared, the computer simulation demonstrates the validation and correctness of the index proposed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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