Title :
An improved detection algorithm of snowflake noise based on spatial domain
Author :
Meili Zhong ; Zhenkuan Pan ; Weibo Wei ; Guodong Wang ; Yaoyao Niu ; Xin Wu
Author_Institution :
Coll. of Inf. Eng., Qingdao Univ., Qingdao, China
Abstract :
The snowflake noise can bring many problems to the video detection, so we propose an efficient method based on video surveillance, which is to solve the detection of snowflake noise. This method is based on the basic features of snowflake noise. We extract video frame from the video, pick up the complacent pixel point, and get rid of the edge and some interference factor. Then the intermediate results will be normalized to give the final results. Through this method, we can accurately locate the position of the snowflake noise and give an alarm quickly.
Keywords :
edge detection; feature extraction; image denoising; video surveillance; complacent pixel point; improved detection algorithm; interference factor; snowflake noise detection; spatial domain; video frame extraction; video surveillance; Interference; Quality assessment; Signal to noise ratio; Snow; Vectors; Video surveillance; Recognition rate; edge removal; false detection rate; snowflake noise;
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
DOI :
10.1109/CISP.2014.7003740
