Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 11
Page No. 4015 - 4019

Hybrid Algorithm for Image De-Noising

Authors : Enas Hamood Al-Saadi and Lamis Hamood Al-Saadi

References

Firoz, R., M.S. Ali, M.N.U. Khan, M.K. Hossain and M.K. Islam et al., 2016. Medical image enhancement using morphological transformation. J. Data Anal. Inf. Process., 4: 1-12.
CrossRef  |  

Kaur, S. and R. Singh, 2015. Image de-noising techniques: A review paper. Intl. J. Technol. Res. Eng., 2: 1649-1653.

Lal, S. and M. Chandra, 2014. Efficient algorithm for contrast enhancement of natural images. Int. Arab J. Inf. Technol., 11: 95-102.

Perona, P. and J. Malik, 1990. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell., 12: 629-639.
CrossRef  |  Direct Link  |  

Portilla, J., V. Strela, M.J. Wainwright and E.P. Simoncelli, 2003. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process., 12: 1338-1351.
CrossRef  |  Direct Link  |  

Ramanath, R., W.E. Snyder, G.L. Bilbro and W.A. Sander, 2002. Demosaicking methods for Bayer color arrays. J. Electron. Imaging, 11: 306-316.
CrossRef  |  Direct Link  |  

Sarath, K. and S. Sreejith, 2017. Image enhancement using fuzzy logic. IOSR. J. Electron. Commun. Eng., 1: 34-44.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved