An Innovation Development to Eliminate the Red Eye Effects in Visual Image Processing Using Color Scheme Deep Learning Model

Visual Image processing is seriously used to motion photograph, modeling, printed thing and placing articles on the Internet. There is a wide mass of options, methods, tools and implementing this process. The processing task of the image processing is to give them the most clearly and clearly real value or type, in which they are distorted. The preparation of the films from the image allows you to remove unwanted items brightly in the eyes. It is mainly to eliminate the effect of the red eye effect and drag the figure. In this paper an innovation model was proposed to eliminate the “Red Eye Effect (REE)”. This proposed method is based on the adjustment that is raised. The visual image processing is that the clarity of the image objects has increased. The film is mostly digital cameras default or threaded transfer color. White balance adjustment sliders can be used by heat. Some image processing programs and make this separate treatment is a purpose. Setting up different digital cameras will allow you to set the best expression in shooting. However, this is always possible. So it should be adjusted by a subsequent visual image processing.