IET IMAGE PROCESS
ISSN：1751-9659 E-ISSN：1751-9667 出版商：Wiley 国家：ENGLAND 周期：Monthly
| 收录情况 | h-index：34 CiteScore：3.20 |
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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