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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 6 SI | Page No.: 7744-7749
DOI: 10.36478/jeasci.2017.7744.7749  
Proposed Novel Fusion Methods Based on Barycentric and Demosaicing Algorithms
Tawfiq A. Al-Asadi and Ali AbdulAzeez Mohammed Baqer
 
Abstract: Image fusion is the process of merging information from more than one source in order to produce more informative image by taking any number of different images for different scenes or by taking any number of same images with different focus or accuracy in order to produce enhanced image that take suitable information from one image or ratio among all input images according to some conditions. In this study, new two methods will be proposed to perform fusion operation in adaptive mechanism that change the ratio from each input images depending on pixel environments, barycentric fusion translate RGB colors to forces on a right triangle and assumed that the triangle is balanced and static to calculate the ratio from each image in the specific pixel and repeat this operation for each pixel in the fused space until producing output fused image that contain information from all fused images with unfixed ratio while demosaicing fusion simulate the process of pixels interpolation due to lack of sensors in camera for economic aspects this process decide pixels from each images that entered to construct specific pattern of a Color Filter Array (CFA) then apply any suitable interpolate method to calculate other pixels component.
 
How to cite this article:
Tawfiq A. Al-Asadi and Ali AbdulAzeez Mohammed Baqer, 2017. Proposed Novel Fusion Methods Based on Barycentric and Demosaicing Algorithms. Journal of Engineering and Applied Sciences, 12: 7744-7749.
DOI: 10.36478/jeasci.2017.7744.7749
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.7744.7749