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Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 109 - Number 6 |
| Year of Publication: 2015 |
| Authors: Rajvi Patel, Manali Rajput, Pramit Parekh |
10.5120/19190-0792
|
Rajvi Patel, Manali Rajput, Pramit Parekh . Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene. International Journal of Computer Applications. 109, 6 ( January 2015), 5-9. DOI=10.5120/19190-0792
Abstract
In this paper, study of various image fusion techniques especially for multi-focus images has been introduced. With the increased development of technology, it is necessary to retrieve information from multi source images in order to produce a high quality fused image with spatial and spectral information. Image Fusion is the process that allows the combination of the significant information from a bunch of images into a single image, where the resultant fused image will be more qualitable informative than any other input images. Thus this technique is useful in improving the quality of data in images. Important applications of Image Fusion contain medical imaging, remote sensing, microscopic imaging, computer vision and robotics applications. Even if the fused image can have balancing spatial and spectral resolution characteristics, the existing image fusion techniques can distort the sprectral information of the multisprectal data while merging.
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