An improved medical image compression technique with lossless region of interest-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An improved medical image compression technique with lossless region of interest

Published:2015-11 Issue:21 Volume:126 Page:2825-2831
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Zuo Zhiyong,Lan Xia,Deng Lihua,Yao Shoukui,Wang Xiaoping

Funder

key National Natural Science Foundation of China

Innovation Fund of CASC

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference46 articles.

1. Design and implementation for JPEG-LS algorithm based on FPGA;Shang;Comput. Intell. Syst.,2011

2. Simple lossless and near-lossless medical image compression based on enhanced DPCM transformation;Sepehrband,2011

3. Introduction to Data Compression;Sayood,2006

4. Adaptive Lossless Video Compression;Park,2003

5. Digital Image Processing;Gonzalez,2002

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A brain magnetic resonance image compression technique using wavelet-based SPIHT algorithm and capsule autoencoder;Multimedia Tools and Applications;2024-05-21

2. Hybrid Region of Interest Based Near-Lossless Codec for Brain Tumour Images Using Convolutional Autoencoder;Communications in Computer and Information Science;2024

3. Novel Integer Shmaliy Transform and New Multiparametric Piecewise Linear Chaotic Map for Joint Lossless Compression and Encryption of Medical Images in IoMTs;Mathematics;2023-08-21

4. An Efficient 3-D Model for Early Prediction of Breast Cancer Based on Hybrid ANN - Fuzzy Model through Lossless Medical MR Images;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

5. Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest;Biomedical Signal Processing and Control;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3