Fusion Enhanced Image Stitching Using Dct and Dchwt
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 6
Abstract
Image fusion is the process by which two or more images are combined into a single image retaining the important features from each of the original images. In this paper, output of SURF and SIFT are used as input images that are further fused by using fusion algorithms DCT and DCHWT. The hybrid combination of DWT and DCHWT has increased the fusion window for the stitched image, which increased the fusion of visual data for a higher degree. The DCT component based decision mapping improved the fusion factor for combining the images in DWT domain by utilizing cosine energy map for whole image. The DWT with contrast and DCT element utilizes the high spectrum of values from its wide dimension filter bands and ensures frequency isolated fusion.
Authors and Affiliations
Ramanpreet Kaur, Amarjeet Kaur, Rinkesh Mittal, Anjana Sharma
Keywords
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- EP ID EP394319
- DOI 10.9790/9622-0806017883.
- Views 129
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