Iet Image Processing SCIE

国际简称：IET IMAGE PROCESS 参考译名：图像处理

主要研究方向：工程技术-工程：电子与电气非预警期刊审稿周期：约6.0个月

《图像处理》(Iet Image Processing)是一本由Wiley出版的以工程技术-工程：电子与电气为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。

4区中科院分区
Q3 JCR分区
280 年发文量
2 IF影响因子
开放是否OA
34 H-index
2007 创刊年份
Monthly 出版周期
English 出版语言

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

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Iet Image Processing期刊信息

ISSN：1751-9659
出版语言：English
是否OA：开放
E-ISSN：1751-9667
出版地区：ENGLAND
是否预警：否
出版商：Wiley
出版周期：Monthly
创刊时间：2007
开源占比：0.4627
Gold OA文章占比：83.28%
OA被引用占比：0.0039...
出版国人文章占比：0.4
出版撤稿占比：0
研究类文章占比：98.21%

Iet Image Processing CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

5.4

0.571

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%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Iet Image Processing中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	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 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	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

Iet Image Processing JCR评价数据（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%

Iet Image Processing历年数据统计

影响因子

中科院分区

Iet Image Processing中国学者发文选摘

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