标题:Medical image compression with thresholding denoising using discrete cosine-based discrete orthogonal stockwell transform
作者:Yu, Qianlei ;Sun, Fengrong ;Babyn, Paul ;Zhang, Cuicui ;Liu, Fanglei ;Qin, Jiaojiao ;Yu, Haitao ;Yao, Guihua
作者机构:[Yu, Qianlei ;Sun, Fengrong ;Zhang, Cuicui ;Liu, Fanglei ;Qin, Jiaojiao ;Yu, Haitao ] School of Information Science and Engineering, Shandong Universi 更多
会议名称:3rd IEEE International Conference on Computer and Communications, ICCC 2017
会议日期:13 December 2017 through 16 December 2017
来源:2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017
出版年:2018
卷:2018-January
页码:1857-1860
DOI:10.1109/CompComm.2017.8322860
关键词:DCST; huffman coding; image compression; thresholding denoising
摘要:Discrete Cosine-based Discrete Orthogonal Stockwell Transform (DCST) provides a time-frequency representation method of signal, and has broad application prospects in image processing. Based on DCST transform, we propose a method for medical image compression while improving the image quality. Main steps of the method are as follows: the image is transformed into coefficients in DCST domain; and then these coefficients are handled using soft thresholding technique. Finally, Huffman coding is used to compress the image in DCST domain. Experimental results show that the method can substantially promote the compression ratio and time efficiency under the premise of increasing the signal-to-noise ratio. So the new method is feasible and practicable for medical image compression with noise reduction. © 2017 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049780524&doi=10.1109%2fCompComm.2017.8322860&partnerID=40&md5=2cad49cf6f005fb1c57dd1c445f942ca
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