A Destriping Method Combining Strong Filter with Weak Filter Based on Image Divided and Adapative Strip Noise Detection
Liu Qi-hua, Feng Jing · Physics Procedia · 2012
Striping is an important factor that influences the quality of remote sensing images. Based on the analysis of existing methods, a new destriping method combining strong filter with weak filter was proposed. With self-adaptative strip noise detection, the new method divides the polluted images into two parts, the badly polluted part and the lightly polluted part. After that, it utilizes the improved moment matching as strong filter on the badly polluted part and the interpolation method as weak filter on the lightly polluted part. The result of comparing the tested images and data indicated that the new method could effectively remove stripe noises and preserve the quality of the images better, especially when the image is small with complex objects.