Abstract
A good noise reduction is a method that can reduce the noise level and preserve the details of the image. This paper proposes a denoising method through hybridization of bilateral filters and wavelet thresholding for digital image in low-light condition. The proposed method is experimented on selected night vision images and the performances are evaluated in terms of Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and visual effects. Results demonstrate that the proposed denoising method has improved the PSNR and MSE of average performance of bilateral filter by 0.97 dB and 1.33 respectively and the average performance of wavelet thresholding has improved by 0.98 dB and 1.19 respectively.
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Acknowledgements
The authors would like to thank Universiti Tun Hussein Onn Malaysia (UTHM) (Grant vote: 1088) and Malaysia Government for the support and sponsor of this study.
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Sari, S., Al Fakkri, S.Z.H., Roslan, H., Tukiran, Z. (2015). Hybridization Denoising Method for Digital Image in Low-Light Condition. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-319-07674-4_79
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DOI: https://doi.org/10.1007/978-3-319-07674-4_79
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