Abstract: The BMC image de-noising naturally corrupted by noise is a classical problem in the field of image processing. Additive random noise can easily be removed using simple threshold methods. De-noising of natural images corrupted by various noises like Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a image in few energy transform values. The wavelet de-noising scheme soft and hard thresholds the wavelet coefficients arising from the standard coif and bior wavelet transform. In this paper, it is proposed to investigate the suitability of different wavelet bases and the size of different neighborhood on the performance of image de-noising algorithms in terms of entropy.
Keywords: BMC Image, De-noising, wavelets, entropy.