New Algorithm for Infrared Image Enhancement
Chang Hong-ta · Video Engineering · 2014
For the existing problems of losing image details in the process of traditional image enhancement algorithms,a new method on the basis of homomorphic filtering combined with the frequency division and singular value decomposition to enhance the infrared image is used in this paper. Based on the homomorphic filter,with a high-pass filter in the frequency domain is divided into high frequency and low frequency,respectively to deal with high frequency and low frequency,through linear increase in high frequency,low frequency through the singular value decomposition,and then add noise processing,change its singular value,get new singular value matrix,and finally to gray-scale adjustment combined with low-frequency and high-frequency processing red images together to get the last of the enhanced images. Through the simulation and compared with the traditional image enhancement,this method in both peak signal-to-noise ratio and the mean square value are improved.