Infrared Image Enhancement Based on Wavelet Transformation and Retinex

As infrared image enhancement method based on wavelet transformation has the problem of poor visual effect, the method based on wavelet transformation and Retinex was proposed. Firstly, the infrared image is decomposed into high frequency detail and low frequency approximation components at various resolutions; Secondly, the low frequency subband of the bottom level is enhanced by multiscale Retinex algorithm, thus the gain coefficients of high frequency subbands are available by calculating the local compatibility of the enhanced low frequency subband of the same level, and the gain coefficients are multiplied by the corresponding detail image to get enhanced high frequency subband images; Finally, the enhanced image is reconstructed by the low frequency subband and high frequency subbands. Experimental results show that the proposed method enhances image details, suppresses noise, and achieves a better visual effect by comparing with infrared image enhancement method based on stationary wavelet transform.