Oil film denoising method based on jump regression analysis

The key process of Ship-borne/shore-based radar image oil film recognition method is image denoising. In order to overcome the disadvantage of image edge blur produced by traditional denoising method, the Jump Regression Analysis(JRA) is used to remove radar image noise. Moreover, an improved JRA algorithm is also proposed which improves the denoising effect and reduces the run time of the JAR. It is proved by experiment that the proposed method not only can effectively remove the noise of radar image, but also to maintain the oil film edge information.