Image processing is a very helpful tool in many fields of modern sciences that involve digital imaging examination and
interpretation. Processed images however, often need to be correlated with the original image, in order to ensure that the
resulting image fulfills its purpose. Aside from the visual examination, which is mandatory, image quality indices (such
as correlation coefficient, entropy and others) are very useful, when deciding which processed image is the most
satisfactory. For this reason, a single program (script) was written in Matlab language, which automatically calculates
eight indices by utilizing eight respective functions (independent function scripts). The program was tested in both fused
hyperspectral (Hyperion-ALI) and multispectral (ALI, Landsat) imagery and proved to be efficient. Indices were found
to be in agreement with visual examination and statistical observations.