The Quality of image fusion is an essential determinant of the value ofprocessing images fusion for many applications. Spatial and spectral qualitiesare the two important indexes that used to evaluate the quality of any fusedimage. However, the jury is still out of fused image's benefits if it comparedwith its original images. In addition, there is a lack of measures forassessing the objective quality of the spatial resolution for the fusionmethods. Therefore, an objective quality of the spatial resolution assessmentfor fusion images is required. Most important details of the image are in edgesregions, but most standards of image estimation do not depend upon specifyingthe edges in the image and measuring their edges. However, they depend upon thegeneral estimation or estimating the uniform region, so this study deals withnew method proposed to estimate the spatial resolution by Contrast StatisticalAnalysis (CSA) depending upon calculating the contrast of the edge, non edgeregions and the rate for the edges regions. Specifying the edges in the imageis made by using Soble operator with different threshold values. In addition,estimating the color distortion added by image fusion based on HistogramAnalysis of the edge brightness values of all RGB-color bands and Lcomponent.
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