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


Affiliations
1 Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, India
2 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, India
3 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical Universityin
4 Department of Statistics, Mathematics and Computer Science, Sri Karan Narendra College of Agriculture, India
     

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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.

Keywords

Visual Image Processing, Motion Photograph, Red Eye Effect, Digital Cameras.
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  • An Innovation Development to Eliminate the Red Eye Effects in Visual Image Processing Using Color Scheme Deep Learning Model

Abstract Views: 100  |  PDF Views: 1

Authors

N. Prakash
Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, India
Sangram Patil
Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, India
Bhagatsing Jitkar
Department of Computer Science and Engineering, D Y Patil Agricultural and Technical Universityin
Suresh Kumar Sharma
Department of Statistics, Mathematics and Computer Science, Sri Karan Narendra College of Agriculture, India

Abstract


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.

Keywords


Visual Image Processing, Motion Photograph, Red Eye Effect, Digital Cameras.

References