Discrimination between microscopic images and its reconstruction using intelligent digital speckle images

Abstract

In this paper, the digital speckle imaging making use of random diffusers is considered useful for coding microscopic images. Three images of the SIDA virus, bone marrow, and red blood cells (Erythrocytes) are investigated. We operate the FFT transform upon the multiplication of the image and the diffuser function giving the convolution of the Fourier spectrum of the image and the Fourier spectrum of the diffuser. It resulted in modulated speckle pattern as compared with the ordinary speckle pattern formed from the diffraction of the random diffuser alone. The contrast for the different speckle images and their profiles are plotted for the three microscopic images. In addition, reconstruction or decoding of the images from the speckle images is obtained by operating the inverse FT operation. The transformation of either color or grayscale images into binary images allows for getting better images in the reconstruction process. The reconstructed images are subjected to a rotation of 180in order to get a replica of the input images. All images used in the processing are constructed using the Mat Lab code.