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Various and different methods can be used to produce high-resolutionmultispectral images from high-resolution panchromatic image (PAN) andlow-resolution multispectral images (MS), mostly on the pixel level. TheQuality of image fusion is an essential determinant of the value of processingimages fusion for many applications. Spatial and spectral qualities are the twoimportant indexes that used to evaluate the quality of any fused image.However, the jury is still out of fused image's benefits if it compared withits original images. In addition, there is a lack of measures for assessing theobjective quality of the spatial resolution for the fusion methods. So, anobjective quality of the spatial resolution assessment for fusion images isrequired. Therefore, this paper describes a new approach proposed to estimatethe spatial resolution improve by High Past Division Index (HPDI) uponcalculating the spatial-frequency of the edge regions of the image and it dealswith a comparison of various analytical techniques for evaluating the Spatialquality, and estimating the colour distortion added by image fusion including:MG, SG, FCC, SD, En, SNR, CC and NRMSE. In addition, this paper devotes toconcentrate on the comparison of various image fusion techniques based on pixeland feature fusion technique.

A Novel Metric Approach Evaluation For The Spatial Enhancement Of Pan-Sharpened Images