Comparison of Modern Compression Standards on Medical Images for Telehealth Applications

计算机科学 远程医疗 数据压缩 图像压缩 编码(社会科学) 远程医疗 计算机视觉 多媒体 人工智能 图像处理 图像(数学) 数学 经济增长 统计 医疗保健 经济
作者
Yixiao Wang,Hamid Reza Tohidypour,Mahsa T. Pourazad,P. Nasiopoulo,Victor C. M. Leung
标识
DOI:10.1109/icce56470.2023.10043402
摘要

Telehealth applications, such as remote diagnosis and examination, have become more and more popular nowadays. However, the generated large number of medical images and their impractical digital size when it comes to telehealth have brought pressure on communication infrastructures. More specifically, the image processing time has increased dramatically due to the size of the digitized images, while requiring substantial transmission bandwidth and storage space. For these reasons, medical image compression has become a hot research topic. While image compression techniques have evolved over several generations, it remains an open question how these standards will perform when it comes to sensitive oversized medical image content. In this paper, the emerging compression standard High Efficiency Video Coding (HEVC) and the next generation standard Versatile Video Coding (VVC) are evaluated on two different medical image datasets, covering the entire range of quality levels. The results of this study show that the VVC standard overperforms HEVC on raw medical image compression both visually and quantitatively, with the performance gap narrowing when dealing with pre-compressed medical images.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
七海海完成签到,获得积分20
刚刚
刚刚
乐乐应助舒适若颜采纳,获得10
刚刚
香蕉觅云应助科研通管家采纳,获得10
1秒前
1秒前
大模型应助科研通管家采纳,获得10
1秒前
Xiuki应助科研通管家采纳,获得10
1秒前
Nole应助科研通管家采纳,获得10
1秒前
cdercder应助科研通管家采纳,获得10
1秒前
Akim应助科研通管家采纳,获得10
2秒前
星辰大海应助科研通管家采纳,获得10
2秒前
慕青应助Silence采纳,获得10
2秒前
warm完成签到,获得积分10
2秒前
Owen应助科研通管家采纳,获得10
2秒前
prigogin应助科研通管家采纳,获得10
2秒前
乐乐应助科研通管家采纳,获得10
2秒前
隐形曼青应助科研通管家采纳,获得10
2秒前
LL关注了科研通微信公众号
2秒前
脑洞疼应助科研通管家采纳,获得10
3秒前
3秒前
顾矜应助科研通管家采纳,获得10
3秒前
prigogin应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
爆米花应助科研通管家采纳,获得10
3秒前
852应助科研通管家采纳,获得10
4秒前
科目三应助科研通管家采纳,获得10
4秒前
prigogin应助科研通管家采纳,获得10
4秒前
完美世界应助gdwang1973采纳,获得10
4秒前
科研通AI6.2应助deng采纳,获得10
4秒前
耍酷的雨泽完成签到,获得积分10
5秒前
可爱的函函应助常富育采纳,获得10
8秒前
8秒前
9秒前
10秒前
白糖完成签到,获得积分10
10秒前
dq发布了新的文献求助10
11秒前
13秒前
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rutherford's Vascular Surgery and Endovascular Therapy, 2‑Volume Set, 11th Edition 480
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7665540
求助须知:如何正确求助?哪些是违规求助? 9235468
关于积分的说明 19873813
捐赠科研通 7234686
什么是DOI,文献DOI怎么找? 3283560
关于科研通互助平台的介绍 2442341
邀请新用户注册赠送积分活动 2284608