Analysis of Image Quality Assessment Methods for Aerial Images

Due to its special imaging conditions, aerial reconnaissance images are easy to be degraded by noise, atmospheric condition, defocus, light exposure, motion-displacement and so on. And the image quality degradation comes down to noise, low contrast and low definition. In order to choose image automatically from massive image data to use in interpretation, appropriate image quality assessment method fit to aerial images should be chosen. The experiments were designed to compare commonly used methods. And the conclusions were that the Mean square error and Mean gradient methods assess noise more accurately. Edge preserving index method assesses definition more accurately, Standard deviation method assesses contrast more accurately, and Structure Similarity (SSIM) method assesses more accurately in image comprehensive quality.