Comparative Study on MATLAB based Joint Photographic Experts Group Image Size Reduction Using Shearlet and Wavelet Packet Transform for X-ray Images with Potential Hospital Data Storage Applications

被引：1

作者：

Perolla, Haripriya ^{[1
]}

Dey, Nibedita ^{[2
]}

机构：

[1] Saveetha Univ, Saveetha Sch Engn, Saveetha Inst Med & Tech Sci, Dept Biomed Engn, Chennai, Tamil Nadu, India

[2] Saveetha Univ, Saveetha Sch Engn, Saveetha Inst Med & Tech Sci, Dept Biotechnol, Chennai, Tamil Nadu, India

来源：

REVISTA GEINTEC-GESTAO INOVACAO E TECNOLOGIAS | 2021年 / 11卷 / 02期

关键词：

Shearlet Transform; X-ray Images; Novel Image Compression Technique; Artificial Intelligence; COEFFICIENTS; FRACTURE; SYSTEM;

D O I：

10.47059/revistageintec.v11i2.1759

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Aim: Aim of this study is to compress X-ray images using wavelet packet transform and shearlet transform. These two transforms were compared for the better compression ratio to store large hospital data files in small memory space. Materials and methods: Sample X-ray images were, Wavelet packet (30) and Shearlet (30) for compression. Compression ratio was calculated. The significance of the data were calculated using SPSS software. Results: There was statistical significance between the wavelet packet and shearlet transform based compression ratio data (p<0.05, independent sample t- test). Conclusion: wavelet packet transform has a better compression ratio than shearlet transform. Wavelet packet transform appears to produce the most consistent results with higher standard deviation (3.3) when compared with shearlet transform which appears to produce lower results with lower standard deviation (0.8).

引用

页码：1312 / 1323

页数：12

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