High Precision Infrared Image Data Rendering Algorithm Based on Probability Sequence
Shibao Sun · Journal of Information and Computational Science · 2013
For overcoming the problems of low image contrast and blurred vision in high precision infrared data linear transformation, the probability sequence rendering algorithm is proposed. Firstly, the frequency of each magnitude of the infrared image data is calculated by a statistical method. Secondly, the highest 256 frequency orders are selected. And then the 256 frequency orders are mapped to 0-255, and the other background noises and other unwanted orders of magnitude are merged. Finally, the infrared image is generated. The local details of the processed image are preserved and better visual effect is achieved.