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Journal Of Real-time Image Processing

Journal Of Real-time Image Processing

SCISCIE

国际简称:J REAL-TIME IMAGE PR  参考译名:实时图像处理杂志

  • 中科院分区

    3区

  • CiteScore分区

    Q1

  • JCR分区

    Q2

基本信息:
ISSN:1861-8200
E-ISSN:1861-8219
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:GERMANY
出版商:Springer Berlin Heidelberg
出版语言:English
出版周期:6 issues per year
出版年份:2006
研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
评价信息:
影响因子:4.9
H-index:27
CiteScore指数:7.6
SJR指数:0.847
SNIP指数:1.444
发文数据:
Gold OA文章占比:8.04%
研究类文章占比:100.00%
年发文量:227
自引率:0.0666...
开源占比:0.0782
出版撤稿占比:
出版国人文章占比:0
OA被引用占比:
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Journal Of Real-time Image Processing期刊介绍

Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed.

Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application.

It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system.

The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.

期刊简介Journal Of Real-time Image Processing期刊介绍

《Journal Of Real-time Image Processing》自2006出版以来,是一本计算机科学优秀杂志。致力于发表原创科学研究结果,并为计算机科学各个领域的原创研究提供一个展示平台,以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCI、SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2026年6月最新版)Journal Of Real-time Image Processing Cite Score数据

  • CiteScore:7.6
  • SJR:0.847
  • SNIP:1.444
学科类别 分区 排名 百分位
大类:Computer Science 小类:Information Systems Q1 119 / 519

77%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Journal Of Real-time Image Processing 中科院分区

《新锐期刊分区表》(2026年3月发布) 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 3区 3区 3区
期刊分区表(2025年3月升级版) 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 4区 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 3区 3区 4区
期刊分区表(2023年12月升级版) 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 4区 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 3区 4区 4区
期刊分区表(2022年12月升级版) 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 4区 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 3区 3区 4区
期刊分区表(2021年12月升级版) 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 3区 ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 3区 3区 4区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Journal Of Real-time Image Processing JCR分区

2025-2026年最新版
按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 69 / 210

67.4

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 97 / 369

73.8

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q2 12 / 39

70.5

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 66 / 210

68.81

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 120 / 371

67.79

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q2 13 / 39

67.95

2023-2024年最新版
按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 95 / 197

52

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 143 / 352

59.5

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q2 18 / 36

51.4

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 113 / 198

43.18

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q2 176 / 354

50.42

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q3 19 / 36

48.61

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND183
  • USA47
  • India36
  • Spain36
  • France34
  • England32
  • South Korea31
  • Taiwan27
  • GERMANY (FED REP GER)25
  • Brazil19

本刊中国学者近年发表论文

  • 1、Laser-prompted real-time object segmentation on smartphones via cloud computin

    Author: Shliaiev, Kyrylo; Yang, Jinfu

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 3, pp. -. DOI: 10.1007/s11554-026-01887-z

  • 2、MLS-YOLO: Multi-scale and Lightweight Synergistic object detector for brain tumor detectio

    Author: Li, Shanqiang; Lan, Junjie; Shi, Yujing; Lin, Zhiqiang

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01883-3

  • 3、AFENet: a real-time power line and transmission tower segmentation network with adaptive feature enhancemen

    Author: Zhu, Gaoyi; Du, Jiaqi; Wang, Jie; Wang, Mei; Fang, Xia; Zhang, Heng

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01877-1

  • 4、YOLOv11-LCCAP2: deployment-oriented P2 head and contrast-aware attention for metal surface micro-defect detectio

    Author: Chen, Mingzhi; Sun, Ping; Liu, Yuan; Chen, Guodong

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01885-1

  • 5、LD2Net: real-time lightweight fluorosis grading with depthwise separable convolution and dual-axis attentional intelligenc

    Author: Li, Minghan; Wu, Yun; Li, Zhihao; Ye, Chengdong

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01874-4

  • 6、PCASeg: progressive cross-layer attention with adaptive sparsity for real-time semantic segmentatio

    Author: Li, Dongpu; Xu, Xiaosu

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01868-2

  • 7、MBS-YOLOv11: a lightweight network for real-time detection of tea plant disease

    Author: Yang, Song; Huang, Demin; Liu, Dayang; Zhu, Liangkuan

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01867-3

  • 8、LEUS-YOLO: a lightweight and efficient UAV-based object detection model for small targets in aerial image

    Author: Sheng, Dingxuan; Guo, Yecai

    Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING. 2026; Vol. 23, Issue 2, pp. -. DOI: 10.1007/s11554-026-01881-5

投稿常见问题

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