Undecimated Wavelet Transforms for Image De-noising
| Autor: | A Gyaourova, Chandrika Kamath, Imola K. Fodor |
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| Rok vydání: | 2002 |
| Předmět: |
Discrete wavelet transform
Lifting scheme business.industry Second-generation wavelet transform Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition Wavelet Computer vision Artificial intelligence Harmonic wavelet transform business Mathematics |
| Popis: | A few different approaches exist for computing undecimated wavelet transform. In this work we construct three undecimated schemes and evaluate their performance for image noise reduction. We use standard wavelet based de-noising techniques and compare the performance of our algorithms with the original undecimated wavelet transform, as well as with the decimated wavelet transform. The experiments we have made show that our algorithms have better noise removal/blurring ratio. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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