Iet Image Processing

Iet Image Processing英文簡(jiǎn)介

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

Iet Image Processing中文簡(jiǎn)介

《Iet Image Processing》是一本由WILEY出版商出版的專(zhuān)業(yè)工程技術(shù)期刊，該刊創(chuàng)刊于2007年，刊期Monthly，該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE、SCI收錄。在中科院最新升級(jí)版分區(qū)表中，該刊分區(qū)信息為大類(lèi)學(xué)科：計(jì)算機(jī)科學(xué) 3區(qū)，小類(lèi)學(xué)科：工程：電子與電氣 3區(qū)；成像科學(xué)與照相技術(shù) 3區(qū)；計(jì)算機(jī)：人工智能 4區(qū)；在JCR（Journal Citation Reports）分區(qū)等級(jí)為Q3。該刊發(fā)文范圍涵蓋計(jì)算機(jī)：人工智能等領(lǐng)域，旨在及時(shí)、準(zhǔn)確、全面地報(bào)道國(guó)內(nèi)外計(jì)算機(jī)：人工智能工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動(dòng)態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵(lì)學(xué)術(shù)創(chuàng)新。2021年影響因子為1.773，平均審稿速度約6.0個(gè)月。

中科院分區(qū)最新升級(jí)版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級(jí)版）

大類(lèi)學(xué)科	分區(qū)	小類(lèi)學(xué)科	分區(qū)	Top期刊	綜述期刊
計(jì)算機(jī)科學(xué)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：電子與電氣 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科學(xué)與照相技術(shù)	4區(qū) 4區(qū) 4區(qū)	否	否

中科院分區(qū)最新基礎(chǔ)版（當(dāng)前數(shù)據(jù)版本：2021年12月最新基礎(chǔ)版）

大類(lèi)學(xué)科	分區(qū)	小類(lèi)學(xué)科	分區(qū)	Top期刊	綜述期刊
工程技術(shù)	4區(qū)	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī)：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：電子與電氣 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科學(xué)與照相技術(shù)	4區(qū) 4區(qū) 4區(qū)	否	否

中科院JCR分區(qū)歷年趨勢(shì)圖

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級(jí)	JCR所屬學(xué)科	分區(qū)	影響因子
Q3	ENGINEERING, ELECTRICAL & ELECTRONIC	Q3	1.773
	IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY	Q3
	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	Q4

期刊指數(shù)

影響因子	h-index	Gold OA文章占比	研究類(lèi)文章占比	OA開(kāi)放訪問(wèn)	平均審稿速度
1.773	34	32.56%	98.01%	開(kāi)放	約6.0個(gè)月

IF值(影響因子)趨勢(shì)圖