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Kiruthiga, T.
- SVPA - The Segmentation Based Visual Processing Algorithm (SVPA) For Illustration Enhancements In Digital Video Processing (DVP)
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Authors
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1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
3 Department of Electronics and Communication Engineering, K.L.N. College of Engineering, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, IN
2 Department of Electronics and Communication Engineering, Vetri Vinayaha College of Engineering and Technology, IN
3 Department of Electronics and Communication Engineering, K.L.N. College of Engineering, IN
4 Department of Automation Control and Robotics, Sheffield Hallam University, GB
Source
ICTACT Journal on Image and Video Processing, Vol 12, No 3 (2022), Pagination: 2669-2673Abstract
At the present time photographic visual processing is rapidly moving towards the next stage. In addition, a variety of visual processing technologies are evolving, such as splitting image dimensions, calibration, pixel beautification, and high-resolution images. The impact of this digital visual processing technology has now greatly enhanced the opportunities for digital video processing technology and the source of its evolution. The vast industry of converting color images from black and white enables it to present even historical videos of the earlier period in a contemporary manner. In this paper, the segmentation based visual processing algorithm is proposed. The algorithm is designed to enhance resolution and clarity to a certain extent with multi-visual enhanced pixels. It also enhances the contrast, brightness and sharpness enhancement as it is much improved over the previous methods. This algorithm works on each image frame and enhances the overall visual function.Keywords
Visual Processing, Visual Processing, Image Dimension, Calibration, Pixel, Segmentation, Resolution, Contrast, Brightness, Sharpness
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