Foreground Image Denoising Based on Layered Filter
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Abstract:
The denoising and beautification for foreground image is an important segment in the fields of pattern recognition and computer vision. Given the distortion of foreground in geometry and dimension caused by morphological post-processing method, a new denoising method is presented by using the layered filter about independent separation block whose pixels’ spatial distribution and value are different for the actual foreground and noise in statistics to filter noise. The experimental results show that the proposed method can effectively wipe off the noise on the foreground image, and perform better as compared to the morphological image processing, and has a lower time complexity.
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Gao Zhi, Lin Xinqi, Wu Peng, Li Haitao. Foreground Image Denoising Based on Layered Filter[J]. Journal of Data Acquisition and Processing,2014,29(1):76-82.