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《Journal Infrared Millimeter and Waves》 2004-04
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IDETIFYING OF NOISE TYPES AND ESTIMATING OF NOISE LEVEL FOR A NOISY IMAGE IN THE WAVELET DOMAIN

ZHANG Qi 1, LIANG De-Qun 2, FAN Xin 3, LI Wen-Ju 4 (1.School of Automation and Electrical Engineering, Dalian Maritime University, Dalian 116026, China; 2.School of Information Technology, Dalian Maritime University, Dalian 116026, China; 3.Institute of Image Processing and Recognition, Xi'an Jiao Tong University, Xi'an 710049, China; 4.School of Computer and Information Technology, Liaoning Normal University, Dalian 116038, China)  
A novel methodology for identifying noise types and estimating noise level was reported. The energy distribution of the HH subband's coefficients in the wavelet domain was used to distinguish Gaussian white noise and salt pepper noise, which exist in images frequently. And the variance of the Gaussian white noise and the density of salt pepper noise were estimated. The experiments on a wide variety of images indicate the veracity of distinguishing and estimating of noise.
【CateGory Index】: TP391.41
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