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Iet Image Processing

Iet Image ProcessingSCIE

国际简称:IET IMAGE PROCESS  参考译名:图像处理

  • 中科院分区

    4区

  • CiteScore分区

    Q2

  • JCR分区

    Q3

基本信息:
ISSN:1751-9659
E-ISSN:1751-9667
是否OA:开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:ENGLAND
出版商:Wiley
出版语言:English
出版周期:Monthly
出版年份:2007
研究方向:工程技术-工程:电子与电气
评价信息:
影响因子:2
H-index:34
CiteScore指数:5.4
SJR指数:0.571
SNIP指数:0.831
发文数据:
Gold OA文章占比:83.28%
研究类文章占比:98.21%
年发文量:280
自引率:0.0869...
开源占比:0.4627
出版撤稿占比:0
出版国人文章占比:0.4
OA被引用占比:0.0039...
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Iet Image Processing期刊介绍

The IET Image Processing journal encompasses research areas related to the generation, processing and communication of visual information. The focus of the journal is the coverage of the latest research results in image and video processing, including image generation and display, enhancement and restoration, segmentation, colour and texture analysis, coding and communication, implementations and architectures as well as innovative applications.

Principal topics include:

Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality.

Processing and Analysis - Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing.

Implementations and Architectures - Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing.

Coding and Transmission - Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video.

Retrieval and Multimedia - Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography.

Applications - Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security.

Current Special Issue Call for Papers:

Evolutionary Computation for Image Processing - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdf

AI-Powered 3D Vision - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf

Multidisciplinary advancement of Imaging Technologies: From Medical Diagnostics and Genomics to Cognitive Machine Vision, and Artificial Intelligence - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf

Deep Learning for 3D Reconstruction - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf

期刊简介Iet Image Processing期刊介绍

《Iet Image Processing》自2007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(2024年最新版)Iet Image Processing Cite Score数据

  • CiteScore:5.4
  • SJR:0.571
  • SNIP:0.831
学科类别 分区 排名 百分位
大类:Engineering 小类:Electrical and Electronic Engineering Q2 241 / 797

69%

大类:Engineering 小类:Signal Processing Q2 47 / 131

64%

大类:Engineering 小类:Computer Vision and Pattern Recognition Q2 41 / 106

61%

大类:Engineering 小类:Software Q2 163 / 407

60%

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Iet Image Processing 中科院分区

中科院 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 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 4区 4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Iet Image Processing JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 130 / 197

34.3%

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q3 202 / 352

42.8%

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q3 23 / 36

37.5%

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 Q3 139 / 198

30.05%

学科:ENGINEERING, ELECTRICAL & ELECTRONIC SCIE Q3 235 / 354

33.76%

学科:IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY SCIE Q3 25 / 36

31.94%

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

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND528
  • India246
  • Iran56
  • USA53
  • Pakistan33
  • England29
  • France29
  • South Korea29
  • Turkey27
  • Algeria25

本刊中国学者近年发表论文

  • 1、Deep side group sparse coding network for image denoising

    Author: Yin, Haitao; Wang, Tianyou

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 1-11. DOI: 10.1049/ipr2.12610

  • 2、FAFNet: Fully aligned fusion network for RGBD semantic segmentation based on hierarchical semantic flows

    Author: Chen, Jiazhou; Zhan, Yangfan; Xu, Yanghui; Pan, Xiang

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 32-41. DOI: 10.1049/ipr2.12614

  • 3、Investigation on the blurred image restoration based on brain-inspired model

    Author: Xiangyan, Meng; Chen, Zhao; Li, Zhao; Keding, Yan; Yumiao, Ren; Haixian, Pan

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 12-23. DOI: 10.1049/ipr2.12612

  • 4、A modified 3D EfficientNet for the classification of Alzheimer's disease using structural magnetic resonance images

    Author: Zheng, Bowen; Gao, Ang; Huang, Xiaona; Li, Yuhan; Liang, Dong; Long, Xiaojing

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 77-87. DOI: 10.1049/ipr2.12618

  • 5、An automatic plant leaf stoma detection method based on YOLOv5

    Author: Li, Xin; Guo, Siyu; Gong, Linrui; Lan, Yuan

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 67-76. DOI: 10.1049/ipr2.12617

  • 6、Visible part prediction and temporal calibration for pedestrian detection

    Author: Yang, Peiyu; Li, Weixi; Wang, Lu; Xu, Lisheng; Deng, Qingxu

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 42-56. DOI: 10.1049/ipr2.12615

  • 7、EDAfuse: A encoder-decoder with atrous spatial pyramid network for infrared and visible image fusion

    Author: Nie, Cairen; Zhou, Dongming; Nie, Rencan

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 132-143. DOI: 10.1049/ipr2.12622

  • 8、SA-BiSeNet: Swap attention bilateral segmentation network for real-time inland waterways segmentation

    Author: Zhang, W. B.; Wu, C. Y.; Bao, Z. S.

    Journal: IET IMAGE PROCESSING. 2023; Vol. 17, Issue 1, pp. 166-177. DOI: 10.1049/ipr2.12625

投稿常见问题

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