The Study of Unbiased-estimation Threshold Wavelet De-noising Method Applied on Mid-wavelength Infrared Image

Abstract

With the rapid development of science and technology, the mid-wavelength Infrared imaging technology has been more and more widely used in military and industrial fields. Mid-wavelength Infrared image is so blurring and noisy that it is difficult to obtain good detection and recognition results and the de-noising for mid-wavelength Infrared image is extremely important. At present various de-noising methods have been applied and achieved partial results, but the methods all have their own limitations such that the high frequency signal is filtered and the edge of image is more obscure. Unbiased estimation threshold wavelet is used to filter the mid-wavelength Infrared images with intellective predictive threshold and no need to build up the accurate estimation of noise deviation. The simulation results show that this algorithm is superior to traditional filtering denoising methods and obtains high quality filtering images.