Visualizing Air Pollutants through Image Processing

In this paper we present a new method to visualize air pollutant through image processing. In order to achieve a realistic effect, we further enhance thus above obtained images in spatial domain. In the proposed method we map the densities of air pollutants to different gray levels, and visualize them by blending those gray levels with background images. The proposed method can visualize large-scale air pollution data from different viewpoints in real time and provide the resulting image with any resolution theoretically, which is very important and favorable for the Internet transmission.