Multi-focus Image Fusion with Quantitative Analysis
Keywords:
Image Fusion; Discrete Wavelet Transform; Dual Tree Complex Wavelet Transform; Quantitative MetricsAbstract
Multi-focus image fusion is the combining relevant information from two or more images of a same scene and as results has “all-in-focus” image. When one scene contains objects in different distance, the camera can be focused on one another of each object, generate set of pictures. Then, by applying image fusion techniques, an image with better focus across all area can be generated. This paper describes an image fusion system using different fusion techniques and the resultant is analyzed with quantitative measures. Initially, the registered images from two different modalities are considered as input image. For the resultant data the perceptual image fusion is applied and the fused image is analyzed with quantitative metrics namely Peak Signal –to- Noise Ratio (PSNR), Mutual Information (MI), Structural Similarity Index (SSIM). From this experimental result we observed that the proposed fusion method provides better result compared to the given images as justified by quantitative metrics.
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