As a kind of special images, infrared images have to be compressed for proper transfer and storage. The traditional method，which is based on MSE to objectively evaluate the quality of impressed images, sometimes cannot conform to effect of human vision perception. Edge mean square error is defined according to human vision system and provides a better evaluation result conforming to human vision. Different thermal image compression algorithms are described. It is improved that edge mean square error is more reasonable to evaluate the images.