OKWW filter for poisson noise removal in low-light condition digital image
| Autor: | Nabilah Ibrahim, Suhaila Sari, Y. Y. Chia, Hazli Roslan, N. S. A. M. Taujuddin, Mohd Norzali Haji Mohd |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Kuwahara filter Noise measurement Computer science business.industry Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Shot noise Salt-and-pepper noise 03 medical and health sciences Noise symbols.namesake 030104 developmental biology Gaussian noise Computer Science::Computer Vision and Pattern Recognition symbols Image noise Computer vision Artificial intelligence business |
| Zdroj: | ICSIPA |
| DOI: | 10.1109/icsipa.2017.8120632 |
| Popis: | Due to the limitation of camera technologies in low cost development, digital images are easily corrupted by various types of noise such as Salt and Pepper noise, Gaussian noise and Poisson noise. For digital image captured in the photon limited low light condition, the effect of image noise especially Poisson noise will be more obvious, degrading the quality of the image. Thus, this study aims to develop new denoising techniques for Poisson noise removal in low light condition digital images. This study proposed a method which is referred to the OKWW Filter which utilizes Otsu Threshold, Kuwahara Filter, Wiener Filter, and Wavelet Threshold. This filter is designed for high Poisson noise removal. The proposed filter performance is compared with other existing denoising techniques. The results show that proposed OKWW Filter is the best in high level Poisson noise removal while preserving the edges and fine details of noisy images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|