A Detail Enhancement Algorithm of Infrared Images Based on Second-generation Wavelet Cumulative Probability

Haifeng Wang, Yi Zhang

Abstract


Aiming at the drawbacks of poor contrast, fuzzy edge and insufficient texture information widely existing in infrared images, a detail enhancement method of infrared images based on second-generation wavelet cumulative probability is proposed. Firstly, the algorithm decomposes infrared images for the second-generation wavelet mono-layer, and the cumulative probability distribution function is used to calculate the detail histogram equalization of the infrared images, then the histogram equalization is processed respectively. The comparison of several algorithms shows that the proposed method is outstanding in image detail in the digital detail enhancement of infrared image, and the noise suppression effect is good.

Keywords


Second-generation wavelet; Infrared image; Detail enhancement; Mean gradient


DOI
10.12783/dteees/apeesd2017/7685

Full Text:

PDF

Refbacks

  • There are currently no refbacks.