Infrared image enhancement based on wavelet analysis and histogram

Aiming at several problems of traditional infrared image enhancement algorithm, an infrared image enhancement method based on wavelet analysis and histogram was proposed. Firstly，the wavelet coefficients were obtained by performing orthogonal wavelet transformation. Then the low frequency wavelet coefficients were enhanced by the double histogram equalization method and for the high-frequency wavelet coefficients，the threshold-filtering method was utilized to enhance the details of the image. Finally, the reconstructed infrared image with enhancement was obtained by using the inverse wavelet transform. The experimental results show that the method improves the gray-scale value and dynamics, doubles the detailed information, restrains the noise, and enhances the contrast in infrared images, which is an effective method for infrared image enhancement.