Image enhancement is a core concept of Digital Image Processing that ensures that any disturbances in the original image are eliminated thereby enhancing the quality of the image. Furthermore conversion of an image from one color space to another ensures that there is minimal data loss in the processing of the image. There are many existing algorithms and several image enhancement techniques have been developed such as histogram equalization contrast stretching bit plane slicing averaging etc. In this paper we considered edge detection as one of the technique and the evaluation metrics such as SSIM (Structural Similarity Index) and VIF(Visual Information Fidelity) has been applied to the images to measure the image quality. In this paper are Positron Emission Tomography(PET) images which have extensive application in biomedical field. In the present work evaluation metrics are applied to the original image and edge detected image thus from experimental results it is observed that the proposed algorithm works well for measuring the quality of spatial resolution enhanced hyper spectral images. © 2005-2013 JATIT & LLS. All rights reserved.