Compression of Medical Image using Wavelet based Sparsification and Coding

被引：0
|
作者：
Patbhajel, Utpreksh [1 ]
Kumar, Ranjeet [1 ]
Kumar, A. [1 ,2 ]
Lee, H. -N. [2 ]
机构：
[1] PDPM Indian Inst Informat Technol Design & Mfg, Elect & Commun Engn, Jabalpur 482005, MP, India
[2] Gwangju Inst Sci & Technol, Sch Elect & Comp Sci, Gwangju 500712, South Korea
来源：
2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) | 2017年
关键词：
Image Compression; WDR; Wavelets; Big Data; VALUE DECOMPOSITION SVD;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, medical image compression technique is presented based on adaptive Scan Wavelet Difference Reduction (ASWDR). It helps to save the storage space and transmission bandwidth of tele-healthcare system. The presented compression scheme has evaluated for different ultrasound image of different cases. The ASWDR technique is exploited with different wavelet filters and obtained the different efficiency of compression as per distinctive sparse characteristics. However, the performance of presented compression scheme is evaluated with fidelity assessments as well as human vision perception for compression and reconstruction. As seen the results, compression of the image is obtained up to 45:1 with 99% of structural similarity of the original and compressed image.
引用
收藏
页码：394 / 398
页数：5
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