선형 Filter와 비선형 Filter 조합에 의한 화상복원 = Image Restoration by the Linear and Nonlinear Filters Combination

다국어 초록 (Multilingual Abstract)

In the image restoration, the smoothing filter to reduce the effect of white Gaussian noise can be used. For the image of lower noise it acts well. But for the higher noise iterative smoothing is needed. Each time an iteration is processed, some area shows better result, while the others worse.
Linear filter usually blurrs the edge portion, but it shows better effect for the flat plateau or back ground. Nonlinear filter shows excellent effect for preserving edges. Severe noise makes the both filters helpless. Iteration is needed in that case.
The iterated linear filter makes the edge blurred excessively, while the iterated nonlinear filter makes streaks in line because of the propagated error. Combinations of both types of filter will have superior performance to that of filter used separately.