Multiwavelet Denoising for Common Phytoplankton Cellular Images

Multiwavelet analysis has been a powerful tool in image processing. But the theory is seldom applied to denoise cellular images of common phytoplankton. This paper proposes a new method which uses multiwavelets combining soft thresholding to meet this kind of applications. Three types of mutiwavelets thresholding are considered: scalar, decor and vector. Results of numerical experiments show that this method particularly using Chui-Lian orthonormal multiwavelet has better effectiveness than other methods referred in this paper for removing Gaussian noise.