Abstract
The traditional infrared image enhancing has over range caused by not taking vision characters of human eye into consideration, therefore, image details are lost. In this paper, an enhanced algorithm based on Parameterized Logarithmic Image Pocessing(PLIP) model was proposed for histogram equalization image processing. First, the image was converted to a gray tone function. Then, the image was reconstructed by the PLIP model and its contrast and details were enhanced by combined plateau histogram equalization. The model parameters were determined by evaluation of function (Measurement of Enhancement by Entropy, EMEE) and information entropy (En). Finally, the hardware platform of the algorithm was developed, and the algorithm was verified respectively by the medium-wave and long-wave infrared image systems. Experimental results show that the method can obtain better enhanced effect for different images. The EMEE of the enhanced image is more than 5 times than traditional plateau histogram equalization algorithm. The results show that this method has an application value to improve the image quality and visual effect.
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