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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》是一本由WILEY出版商出版的專業工程技術期刊，該刊創刊于2007年，刊期Monthly，該刊已被國際權威數據庫SCIE、SCI收錄。在中科院最新升級版分區表中，該刊分區信息為大類學科：計算機科學 3區，小類學科：工程：電子與電氣 3區；成像科學與照相技術 3區；計算機：人工智能 4區；在JCR（Journal Citation Reports）分區等級為Q3。該刊發文范圍涵蓋計算機：人工智能等領域，旨在及時、準確、全面地報道國內外計算機：人工智能工作者在該領域取得的最新研究成果、工作進展及學術動態、技術革新等，促進學術交流，鼓勵學術創新。2021年影響因子為1.773，平均審稿速度約6.0個月。
| 大類學科 | 分區 | 小類學科 | 分區 | Top期刊 | 綜述期刊 |
| 計算機科學 | 4區 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機：人工智能 ENGINEERING, ELECTRICAL & ELECTRONIC 工程：電子與電氣 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科學與照相技術 | 4區 4區 4區 | 否 | 否 |
| JCR分區等級 | JCR所屬學科 | 分區 | 影響因子 |
| Q3 | ENGINEERING, ELECTRICAL & ELECTRONIC | Q3 | 1.773 |
| IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | Q3 | ||
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q4 |
| 影響因子 | h-index | Gold OA文章占比 | 研究類文章占比 | OA開放訪問 | 平均審稿速度 |
| 1.773 | 34 | 32.56% | 98.01% | 開放 | 約6.0個月 |
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