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Denoising of Infrared Images by an Adaptive Threshold Method in the Wavelet Transformed Domain  

Cho, Chang-Ho (IT Development team, R&D Center, CESCO Co. Ltd.)
Lee, Sang-Hyo (Dept. of Information & Control Engineering, Kwangwoon university)
Lee, Jong-Yong (Dept. of general education, Kwangwoon university)
Cho, Do-Hyeon (Dept. of Digital Electronics & Information, Inha Collage)
Lee, Sang-Chuel (Dept. of micro-robot, Jaineung College)
Publication Information
전자공학회논문지 IE / v.43, no.4, 2006 , pp. 65-75 More about this Journal
Abstract
This thesis deals with a wavelet-based method of denoising of infrared images contaminated with impulse noise and Gaussian noise, he method of thresholding the wavelet coefficients using derivatives and median absolute deviations of the wavelet coefficients of the detail subbands was proposed to effectively denoise infrared images with noises. Particularly, in order to eliminate the impulse noise the method of generating binary masks indicating locations of the impulse noise was selected. By this method, the threshold values dividing edges and noises were obtained more effectively proving the validity of the denoising method compared with the conventional wavelet shrinkage method.
Keywords
wavelet transform; infrared image; do-noise; median absolute deviation;
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