Shift Invarient and Eigen Feature Based Image Fusion
نویسندگان
چکیده
Image fusion is a technique of fusing multiple images for better information and more accurate image compared input images. Image fusion has applications in biomedical imaging, remote sensing, pattern recognition, multi-focus image integration, and modern military. The proposed methodology uses benefits of Stationary Wavelet Transform (SWT) and Principal Component Analysis (PCA) to fuse the two images. The obtained results are compared with exiting methodologies and shows robustness in terms of entropy, Peak Signal to Noise Ratio (PSNR) and standard deviation.
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تاریخ انتشار 2016