Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4970074 | Pattern Recognition Letters | 2017 | 13 Pages |
Abstract
Image fusion is important medical image processing technique which aims at fusing complimentary information between two images. A little literature has been found on pre-processing of the source images prior to fusion which directly affects the image fusion quality. In this paper we have proposed an effective image fusion method based on IHS-wavelet transform along with pre-processing of source image in a selected sequence of spatial and transform domain techniques before fusion to create a highly informative fused image. The proposed methodology has outperformed six other state-of-the-art image fusion techniques both in terms of objective evaluation and visual results on osseous and vascular 2-D data
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Chirag Kamal Ahuja,