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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出版商出版的专业工程技术期刊，该刊创刊于2007年，刊期Monthly，该刊已被国际权威数据库SCIE、SCI收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：计算机科学 3区，小类学科：工程：电子与电气 3区；成像科学与照相技术 3区；计算机：人工智能 4区；在JCR（Journal Citation Reports）分区等级为Q3。该刊发文范围涵盖计算机：人工智能等领域，旨在及时、准确、全面地报道国内外计算机：人工智能工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为1.773，平均审稿速度约6.0个月。
| 大类学科 | 分区 | 小类学科 | 分区 | Top期刊 | 综述期刊 |
| 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 | 否 | 否 |
| JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
| Q3 | ENGINEERING, ELECTRICAL & ELECTRONIC | Q3 | 1.773 |
| IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | Q3 | ||
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q4 |
| 影响因子 | h-index | Gold OA文章占比 | 研究类文章占比 | OA开放访问 | 平均审稿速度 |
| 1.773 | 34 | 32.56% | 98.01% | 开放 | 约6.0个月 |
课题、SCI/EI/SSCI怎么写？