Noise matters in image restoration: from synthetic degradation to real-world challenges
Image restoration (IR) plays a crucial role in recovering high-quality image content from degraded observations, finding applications in surveillance, computational photography, and medical imaging. Noise is a common and fundamental degradation encountered in many IR scenarios. Despite its wide-rang...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/174173 |
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| Institution: | Nanyang Technological University |
| Language: | English |