Journal of Jilin University(Information Science Ed

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Method of Video Image De-Noising Based on Mixed Filter

XIANG Li-linga, LIU Zhia, QI Jib, YANG Yanga   

  1. a. College of Electronic and Information Technology; b. College of Photo-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • Received:2013-03-13 Online:2013-05-27 Published:2013-06-07

Abstract:

Video image mixed noise by Gaussian noise and impulse noise, seriously affected the image storage, coding and decoding, transmission, target identification and tracking postprocessing. A mixed filtering method has been proposed based on an average of edge detection. Through the number of impulse noise judgment methods, the impulse noise is separated from the mixed noise and removed using median filtering. The edge of new image will be extracted by an average of edge detection method and then the Gaussian noise of nonedge is filtered using adaptive mean filtering methods. The edge of the new image is embedded in the filtered Gaussian noise images. Experiment results show that the method will be able to effectively remove Gaussian noise and impulse noise of the image, and to maintain the edges of the image information, improving the image de-noising and clarity.

Key words: image processing, mixed filter, the number of impulse noise judgment, edgedetecting, Gaussian noise, impulse noise

CLC Number: 

  • TP391.4