Optimizing Classification Accuracy of Remotely Sensed Imagery with DT-CWT Fused Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Capture and fusion of 3d surface texture
Multimedia Tools and Applications
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Image fusion is the process of combing multiple images of the same scene into a single fused image with the aim of preserving the full content information and retaining the important features from each of the original images. In this paper, we propose a novel scheme to measure every wavelet decomposition coefficient's saliency of the original images. The saliency value reflects the visually meaningful content of the wavelet decomposition coefficients and is consistent with human visual perception. The novel scheme aims to preserve the full content value and retain the visually meaningful information with human visual perception more exactly than the traditional method. In addition, the proposed novel method can be combined with any sophisticated fusion rules and fusion operators that are based on wavelet decomposition. Experimental results show the effectiveness of the proposed scheme, which can retain perceptually important image information.