DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-3 ( Mar, 2018 ) | |||||||||
Paper Title |
A Novel Approach of Image Fusion based DCT and PCA using Nonlinear Enhancement Approach | |||||||||
Author Name |
Inderpal Singh | |||||||||
Affilition |
Dept. Computer Science and Engineering, GNDU Regional Campus, Jalandhar | |||||||||
Pages |
45-48 | |||||||||
Abstract |
Image Fusion is used comprehensively in image processing system. Different Image Fusion methods have been proposed in the literature survey to reduce blurring effects. Most of these methods are based on the post-processing idea. In other words, Image fusion enhances the quality of image by removing the noise and the blurriness of the image. Image fusion takes place at three totally different levels i.e. pixel, feature and decision.Image fusion methods can be broadly classified into two that is spatial domain fusion and transform domain fusion.Averaging, Brovey method and Principal Component Analysis (PCA) based methods are spatial domain methods. But spatial domain methods produce distortion in the fused image .This problem can be solved by transform domain approach. Keyword - Image Fusion, Principal Component Analysis (PCA) and spatial domain methods. | |||||||||
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