An approach for image removal blurring using gauss-total in optical communications

Optical-fiber transmission lines appear attractive for a variety of communication applications in which twisted copper pairs and coaxial cables are now used. These applications range from on premises data links and equipment wiring to interoffice and intercity telecommunications trunks. Experiments to explore the technical feasibility of glass fibers in these areas are presently in progress. This paper summarizes the state of the art of the burgeoning field of optical fibers. Progress in research on fibers, cables, devices, and components will be reviewed, and systems applications and field experiments will be discussed. In video and still image camera noise and blurring of images is often seen. Image noises can be removed using various classes of filters. In case of mixed noises filter cannot eliminate noise completely. To remove such noises pdf estimation of noises becomes important. Blurring of images is another degrading factor and when image is corrupted with both blurring and mixed noises de- noising and de-blurring of image is very difficult. In this paper, Gauss-Total Variation model (G-TV model) is discussed and results are presented and it is shown that blurring of image is completely removed using G-TV model; however, image corrupted with blurring and mixed noise cannot be completely recovered.