New algorithm for infrared small target image enhancement based on wavelet transform and human visual properties

1 .INTRODUCTIONBecause of the li mitation of the existing infrareddevices’function,the effects of infrared sensor’si maging are far from perfection and have manydrawbacks such as big noise , low contrast , andpoor visual effects , which affect badly its use inthe real battlefield. The goal of i mage enhance-ment is to reduce noise , preserve edges and i m-prove the visual effects of i mages , so i mage en-hancement is an absolutely necessary part of signalprocessing in the infrared i mag…

New algorithm for infrared small target image enhancement based on wavelet transform and human visual properties

The key to the wavelet based denoising techniq ue s is how to manipulate the wavelet coefficients. By referring to the idea of Inc lusive-OR in the design of circuits, this paper proposes a new algorithm called wavelet domain Inclusive-OR denoising algorithm(WDIDA), which distinguishes th e wavelet coefficients belonging to image or noise by considering their phases and modulus maxima simultaneously. Using this new algorithm, the denoising effec ts are improved and the computation time is reduced. Furthermore, in order to en hance the edges of the image but not magnify noise, a contrast nonlinear enhanci ng algorithm is presented according to human visual properties. Compared with tr aditional enhancing algorithms, the algorithm that we proposed has a better nois e reducing performance , preserving edges and improving the visual quality of im ages.