  Various and different methods can be used to produce high-resolution
multispectral images from high-resolution panchromatic image (PAN) and
low-resolution multispectral images (MS), mostly on the pixel level. The
Quality of image fusion is an essential determinant of the value of processing
images fusion for many applications. Spatial and spectral qualities are the two
important 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 with
its original images. In addition, there is a lack of measures for assessing the
objective quality of the spatial resolution for the fusion methods. So, an
objective quality of the spatial resolution assessment for fusion images is
required. Therefore, this paper describes a new approach proposed to estimate
the spatial resolution improve by High Past Division Index (HPDI) upon
calculating the spatial-frequency of the edge regions of the image and it deals
with a comparison of various analytical techniques for evaluating the Spatial
quality, and estimating the colour distortion added by image fusion including:
MG, SG, FCC, SD, En, SNR, CC and NRMSE. In addition, this paper devotes to
concentrate on the comparison of various image fusion techniques based on pixel
and feature fusion technique.
