Denoising of image: A wavelet based approach
| Autor: | Rajib Guhathakurta |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Discrete wavelet transform
Lifting scheme Computer science business.industry Second-generation wavelet transform Stationary wavelet transform MathematicsofComputing_NUMERICALANALYSIS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition Wavelet Computer Science::Computer Vision and Pattern Recognition Computer vision Video denoising Artificial intelligence business |
| Zdroj: | 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). |
| DOI: | 10.1109/iemecon.2017.8079587 |
| Popis: | Owing to its rapidly increasing popularity over last few decades the wavelet transform has become quite a standard tool in numerous research and application domains. With Wavelet transforms, various algorithms for denoising in wavelet domain were introduced. Wavelets gave a superior performance in image denoising because here multi-resolution analysis is possible. Wavelet thresholding is a signal estimation technique that exploits the capabilities of wavelet transform for signal denoising. The aim of this project was to study various denoising techniques using wavelet and wavelet packets and compare them to determine the better one for image denoising. MSE and PSNR has been measured as quantitative performance tool to compare various denoising techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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