In order to keep the detail information of edges while suppressing noise in laser active imaging, hybrid filter based on pixel classification is proposed. Based on contour curvature, the pixels are divided into different classes. Lee filter is used to suppress speckle noise and fuzzy weighted averaging filter is used to suppress other mixed noise. A contour point screening method is proposed to select candidate contour points from noisy image. Then the contours are thinned into single pixel. After eliminating the bogus contours brought by the noise and those that are comparatively week, the contour curvatures are calculated. According to the contour curvature, the pixels of the image are divided into different classes. For the pixels belonging to different classes, fuzzy weighted averaging filter and Lee filter with different filter parameters are used, which makes the proposed method own pixel-level adaptability. Experimental results indicate that the proposed method outperform the classical Lee, Kuan and wavelet soft-thresholding filter in denoising and keeping detail edge information.