Hazli Roslan

Development of denoising method for digital image in low-light condition

A good noise reduction is a method that can reduce the noise level and preserve the details of the image. This paper proposes the development of a denoising method through hybridization of bilateral filters and wavelet thresholding for digital images in low light condition.In the first stage, the noisy image is passed through Bilateral Filter. However, only some amount of noise gets reduced and the image gives a blurred appearance. Hence to preserve the edge details and reduce the blur effect, Wavelet Thresholding is applied and it is proved that the proposed method is more successful to preserve the edges while suppressing the noise.

Hybridization Denoising Method for Digital Image in Low-Light Condition

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.