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In distance education by network, the dynamic images include a lot of noise and bad data. This paper presents an image sharpness algorithm based on pixel small group enhancement. Firstly it adopts discrete wavelet transform method to filtrate the noise. And secondly the pixel small group principle is used to enhance the image and guarantee the clearance and liability of video images. Experimental results show that the new method improves the image quality and it is more effective than the traditional method. KEYWORD: video education; pixel group; image sharpness International Conference on Social Science, Education Management and Sports Education (SSEMSE 2015) © 2015. The authors Published by Atlantis Press 1610 1 3 3 (1,1) [2 3 1 ( 3) 2 1 1 1] 2 2 U            1 7 (1,0) [2 2 0 2 1 1 1 2] 2 2 U          Then the image is decomposed by discrete wavelet transform with the formula below.

A Sharpening Algorithm for Dynamic Video Image in Network Education