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Digital image enhancement and reconstruction /
Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press,
[2023]
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| Colección: | Hybrid computational intelligence for pattern analysis and understanding series
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Video enhancement and super-resolution
- On estimating uncertainty of fingerprint enhancement models
- Hardware and software based methods for underwater image enhancement and restoration
- Denoising and enhancement of medical images by statistically modeling wavelet coefficients
- Medical image denoising using convolutional neural networks
- Multimodel learning of social image representation
- Underwater image enhancement : past, present, and future
- A comparative analysis of image restoration techniques
- Comprehensive survey of face super-resolution techniques
- Fusion-based backlit image enhancement and analysis of results using contrast measure and SSIM
- Recent techniques for hyperspectral image enhancement
- Classification of COVID-19 and non-COVID-19 lung computed tomography images using machine learning
- Brain tumor image segmentation using K-means and fuzzy C-means clustering
- Multimodality medical image fusion in shearlet domain
- IIITM faces : an Indian face image database.