Signal Processing - Image and Video Coding beyond Standards
Estimation of class membership functions for grey-level based image fusion
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
A New Type of Multi-focus Image Fusion Method Based on Curvelet Transforms
ICECE '10 Proceedings of the 2010 International Conference on Electrical and Control Engineering
Vision-based vehicle detection for a driver assistance system
Computers & Mathematics with Applications
Multiphase image segmentation using a phase-field model
Computers & Mathematics with Applications
Image segmentation based on histogram analysis utilizing the cloud model
Computers & Mathematics with Applications
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Sparse geometric image representations with bandelets
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
Information Content Weighting for Perceptual Image Quality Assessment
IEEE Transactions on Image Processing
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Underwater image dehazing using joint trilateral filter
Computers and Electrical Engineering
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The benefits of multisensor fusion have motivated research in this area in recent years. Redundant fusion methods are used to enhance fusion system capability and reliability. The benefits of beyond wavelets have also prompted scholars to conduct research in this field. In this paper, we propose the maximum local energy method to calculate the low-frequency coefficients of images and compare the results with those of different beyond wavelets. An image fusion step was performed as follows: first, we obtained the coefficients of two different types of images through beyond wavelet transform. Second, we selected the low-frequency coefficients by maximum local energy and obtaining the high-frequency coefficients using the sum modified Laplacian method. Finally, the fused image was obtained by performing an inverse beyond wavelet transform. In addition to human vision analysis, the images were also compared through quantitative analysis. Three types of images (multifocus, multimodal medical, and remote sensing images) were used in the experiments to compare the results among the beyond wavelets. The numerical experiments reveal that maximum local energy is a new strategy for attaining image fusion with satisfactory performance.