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Jitkar, Bhagatsing
- An Innovation Development to Eliminate the Red Eye Effects in Visual Image Processing Using Color Scheme Deep Learning Model
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Authors
Affiliations
1 Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, IN
2 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, IN
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, IN
1 Department of Computer Science and Technology, Madanapalle Institute of Technology & Science, IN
2 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, IN
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, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 1 (2022), Pagination: 2775-2780Abstract
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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Abstract Views :71 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science and Engineering, Government College of Engineering, Bargur, IN
2 Department of Electronics and Communication Engineering, G Pulla Reddy Engineering College, IN
3 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, IN
4 Department of Computer Science and Engineering, D Y Patil College of Engineering and Technology, IN
1 Department of Computer Science and Engineering, Government College of Engineering, Bargur, IN
2 Department of Electronics and Communication Engineering, G Pulla Reddy Engineering College, IN
3 Department of Computer Science and Engineering, D Y Patil Agricultural and Technical University, IN
4 Department of Computer Science and Engineering, D Y Patil College of Engineering and Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 1 (2022), Pagination: 2781-2785Abstract
Digital image processing makes it possible to use the most sophisticated methods, so it can provide both more complex performance in simple tasks and the implementation of impossible methods. Digital cameras usually have a special hardware for image processing (specially added to the circuits or other chips) to convert the original data into a standard image file format in the form of a standard image file changes. The Digital filters are used to blur and sharpen visual based digital images. These filters can be done in the space sphere through the frequency field by covering specially designed cores or certain frequency bands. The images are usually stacked before the Fourier is transferred and the overlay filter images show the results of different layer techniques. In this paper, an innovation filter model was proposed interms of color pixels in the images. The proposed model has a high-pass filter shows extra edges when zero is compared to the repeat edge. The visual transformations make the basic changes of the film, including scaling, rotation, exchange, reflection and cultivation.Keywords
Digital Image Processing, Digital Camera, Digital Filters, Visual, Frequency Bands, Filter Model, Color Pixel.References
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