A Survey on Speckle Removal for Optical Coherence Tomography Images
| Autor: | Gayathri. K, Roopa. G, Ishwariya. A, Ramachandiran R |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
genetic structures
medicine.diagnostic_test Computer science business.industry Noise reduction Physics::Medical Physics Astrophysics::Instrumentation and Methods for Astrophysics Speckle noise eye diseases Speckle pattern Noise Signal-to-noise ratio Optical coherence tomography Distortion medicine Computer vision sense organs Artificial intelligence Optical filter business |
| Zdroj: | 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN). |
| DOI: | 10.1109/icscan.2019.8878679 |
| Popis: | Optical Coherence Tomography (OCT) has shown a great potential in providing clarity in scanned images. Speckle noise is one major factor present in the OCT images. It reduces interpretation and diagnosis and reduces both contrast and signal to noise ratio (SNR). The OCT images contains speckle noise which makes it difficult to interpret. To reduce this problem, specialized noise reduction techniques are used to eliminate the noise while conserving image details. This paper presents a comparative analysis based on the performance metrics used in the existing techniques. The objective of this article to remove speckle noise from OCT images without distortion in edges and to increase signal-to-noise ratio. |
| Databáze: | OpenAIRE |
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