Evaluation of color image interpolation based on incompressible Navier Stokes technique

Autor: Chanintorn Jittawiriyanukoon, Vilasinee Srisarkun
Rok vydání: 2021
Předmět:
Control and Optimization
Computer Networks and Communications
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
01 natural sciences
Image (mathematics)
Physics::Fluid Dynamics
Stream function
Image interpolation
0202 electrical engineering
electronic engineering
information engineering
Computer Science (miscellaneous)
Image scaling
Computer vision
Navier Stokes method
0101 mathematics
Electrical and Electronic Engineering
Instrumentation
Image restoration
ComputingMethodologies_COMPUTERGRAPHICS
business.industry
Color image
Numerical analysis
Animation
010101 applied mathematics
Masking
Hardware and Architecture
Control and Systems Engineering
Computer Science::Computer Vision and Pattern Recognition
Image analytics
020201 artificial intelligence & image processing
Artificial intelligence
Reconstruction
business
Information Systems
Interpolation
Zdroj: Bulletin of Electrical Engineering and Informatics. 10:1634-1639
ISSN: 2302-9285
2089-3191
DOI: 10.11591/eei.v10i3.1820
Popis: Color image interpolation encompasses reconstructing parts of a video or an image based on information from the neighbor. Technique involves the restoration of noised photos and animation or image denoising. The Navier-Stokes (NS) technique has been widely investigated as an essential research by image restoration. These NS equations contribute spectacular results for producing an animation as they augment reality. They can boost real-time video games to be more sensible than ever. In this paper, we present the Incompressible NS approach (INS) for color image interpolating. The method per se is based on fluid flow concept to circulate directed lines from the peripheral into the area to be interpolated. The image intensity represents stream function in a computational flow of 2D fluid dynamics. The algorithm is implemented to carry on lines regarding gradient vectors at the edge of the interpolating region. It uses the improvement of powerful numerical analysis. It is also proven as an innovative idea for easing problems in image analytics as well as computer vision.
Databáze: OpenAIRE
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