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.

[1]  Mehdi Teimouri,et al.  An efficient denoising method for color images , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[2]  Martin J. Wainwright,et al.  Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..

[3]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[4]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[5]  I. Johnstone,et al.  Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .

[6]  Yasuyuki Matsushita,et al.  Noise suppression in low-light images through joint denoising and demosaicing , 2011, CVPR 2011.

[7]  Martin Vetterli,et al.  Adaptive wavelet thresholding for image denoising and compression , 2000, IEEE Trans. Image Process..

[8]  Jean-Michel Morel,et al.  Neighborhood filters and PDE’s , 2006, Numerische Mathematik.

[9]  Ming Zhang,et al.  A new image denoising method based on the bilateral filter , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[10]  Sudipta Roy,et al.  A NEW HYBRID IMAGE DENOISING METHOD , 2010 .

[11]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Sudipta Roy,et al.  An Efficient Denoising Model based on Wavelet and Bilateral Filters , 2012 .

[13]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[14]  Koichi Ogawa,et al.  Adaptive Noise Reduction of Scintigrams with a Wavelet Transform , 2012, Int. J. Biomed. Imaging.

[15]  Kazuo Tanaka,et al.  2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013, Penang, Malaysia, November 29 - Dec. 1, 2013 , 2013, ICCSCE.