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Journal of the IEE; Journal of the Institution of Electrical Engineers (various sections) Journal of the Institution of Electronic and Radio Engineers; Journal of the Institution of Production Engineers; Journal of the Society of Telegraph Engineers; Journal of the Society of Telegraph Engineers and of Electricians
IEEE Transactions on Image Processing; IEEE Transactions on Information Forensics and Security; ... International Journal of Innovation and Technology Management;
The Imaging Science Journal, formerly The Journal of Photographic Science, is a bimonthly peer-reviewed scientific journal covering both fundamental and applied aspects of imaging, including conventional, analogue chemical, electronic, digital and hybrid imaging systems.
The IEEE Transactions on Image Processing is a monthly peer-reviewed scientific journal covering aspects of image processing in the field of signal processing. It was established in 1992 and is published by the IEEE Signal Processing Society. The editor-in-chief is Benoît Macq (Université catholique de Louvain).
Digital imaging or digital image acquisition is the creation of a digital representation of the visual characteristics of an object, [1] such as a physical scene or the interior structure of an object. The term is often assumed to imply or include the processing, compression, storage, printing and display of such images.
The Journal of Electronic Imaging is a peer-reviewed scientific journal published quarterly by SPIE and the Society for Imaging Science and Technology. It covers all technology topics pertaining to the field of electronic imaging. The editor-in-chief is Zeev Zalevsky.
The Society for Imaging Science and Technology (IS&T) is a professional society (a type of research and education organization) in the field of photography. Founded in 1947 as the Society of Photographic Scientists and Engineers (SPSE), it is headquartered in Springfield, Virginia. In 2018 it had about 850 members worldwide, and 5,000 ...
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).