Optimistic Image Fusion Analysis on Wavelet and Curvelet Based Images
Keywords:
Image Fusion, Edge Detection, Vector Machine (SVM), Curvlet Transformation.Abstract
In digital image processing, the researchers are focusing in image fusion in which image fusion is a data fusion innovation and information between two images, that keeps images as main research substance including to the strategies which integrate multi-images of the same scene of environment from multiple image sensor data or integrate multi images of the same scene in various environment. In this paper, we have applied a novel image fusion method that is suitable for pan-sharpening of Multi-Spectral (MS) bands which consists the concept multi-resolution analysis. The low-resolution MS bands means sharpened by injecting high-pass directional details extracted from the high-resolution analysis Panchromatic (Pan) image by means of the Wavelet and Curvelet transform, which is considered as non-separable MRA and works on basis function at directional edges with progressively increasing resolution and introduce a new methodology based on the Wavelet and Curvelet transform using Neural Network which provides information of edges better than wavelets. However, edges play a vital role in image analysis and one important rule to enhance spatial resolution is to enhance the edges. Wavelet and Curvelet-based image fusion method provides huge amount of information in the spatial and spectral domains simultaneously.
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