A Novel Hybrid Approach for Medical Image Compression

被引：2

作者：

Khan, Sajid Ullah ^{[1
]}

Ullah, Najeeb ^{[2
]}

Ahmed, Imran ^{[3
]}

Chai, Wang Yin ^{[1
]}

Ullah, Shahid ^{[1
]}

机构：

[1] Univ Malaysia Sarawak, FCSIT, Sarawak, Malaysia

[2] CECOS Univ IT & Emerging Sci, Peshawar, Pakistan

[3] Inst Management Sci, Peshawar, Pakistan

来源：

CURRENT MEDICAL IMAGING | 2018年 / 14卷 / 06期

关键词：

Image compression; coefficients learning; learning based coding; probabilistic decision algorithm; hybrid approach; JPEG;

D O I：

10.2174/1573405613666170428162650

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Background: The area of image processing extends from basic image compression model to high end applications such as astronomical data processing and medical image processing. Images have vast features and coding them into lower bit rates results in the loss of information. Methods: This study proposes a novel hybrid approach to compress the image no loss of information and to maintain reduced processing overhead. Discussion: To validate the proposed approach, the suggested method is tested on different medical samples and the obtained results are compared with results retrived through the conventional JPEG based coding approach. Conclusion: The experimental results show that the proposed approach performs efficiently and can be implemented in realworld applications.

引用

页码：845 / 852

页数：8

共 16 条

[1]

Alhanjouri Mohammed, 2011, International Journal of Computer Science & Information Technology, V3, P215, DOI 10.5121/ijcsit.2011.3617

[2]

Arthur A, 2012 INT C COMP COMM, P1

[3] Wavelet based volumetric medical image compression [J].