Journal Information

Displays

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Impact Factor:
3.4
Publisher:
Elsevier
ISSN:
0141-9382
Viewed:
21676
Tracked:
0

Call For Papers

Displays is an academic journal published by Elsevier. (ISSN 0141-9382, impact factor 3.4).

Displays is a peer reviewed international journal accepting technical, original research papers and tutorial papers dealing with display technologies and applications. The journal welcomes submissions in a wide range of display-related topics, including display technologies, materials, components, methods and systems, display-human interaction, processing and analysis of visual signals, and visual perception. The journal aims to provide a platform for the publication of top quality display-related research works with both academic and industrial appeal. Our dedicated editorial team will try their best to ensure a rapid reviewing process. The journal covers topics include, but not limited to, the following fields: Display-human Interaction • Visual signal processing and computer vision (CV) • Display-human/user interface design and analysis • Image/video quality assessment (IQA/VQA) and quality of experience (QoE) • Visual performance measurement and assessment • Visual perception and its cortical representation • Human factors and ergonomics for displays Display Technology • Emissive/non-emissive displays • Flexible displays and E-papers • Materials/components and drive-electronics for displays • 3D displays and virtual/augmented/mixed reality (VR/AR/MR) • Auditory and tactile displays • Computational displays
Last updated by Dou Sun in

Special Issues

Special Issue on Vision-Based Intelligent Evaluation Technology Submission Date: 2026-06-30 Guest editors: Professor Ke Gu, Ph.D. Beijing University of Technology, Beijing, China Areas of Expertise: Image processing, environmental perception, automatic detection Associate professor Lai Kuan Wong, Ph.D. Multimedia University, Selangor, Malaysia Areas of Expertise: Computer vision, computational photography, medical imaging Associate professor Tho Quan Thanh, Ph.D. Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam Areas of Expertise: Deep neural network, visual segmentation, artificial intelligence models Assistant Professor Maryam Karimi, Ph.D. Shahrekord University, Shahrekord, Iran Areas of Expertise: Image processing, computer vision, deep learning Professor Weisi Lin, Ph.D. Nanyang Technological University, Singapore Areas of Expertise: Perception inspired signal modeling, video compression, image processing and analysis Professor Nipon Theera-Umpon, Ph.D. Chiang Mai University, Chiang Mai, Thailand Special issue information: Vision-based intelligent evaluation technology, as an interdisciplinary field integrating artificial intelligence and computer vision, deeply converges core algorithms such as visual quality assessment, image enhancement, abnormal behavior detection and multi-target recognition, thus to establish a comprehensive analysis system covering the entire process from data collection and feature extraction to intelligent decision-making. Against the backdrop of the in-depth promotion of digital transformation, many application fields, such as industrial internet, medical imaging and educational big data, are imposing increasingly stringent requirements on the real-time nature and accuracy of data evaluation. Traditional manual evaluation methods struggle to meet these requirements, while intelligent evaluation technology leverages the advantages of automation, precision and real-time capabilities to efficiently process complex data and provide scientific support for decision-making. Taking the generative AI for example, intelligent evaluation technology can efficiently conduct a comprehensive quality analysis of generated content, including visual authenticity verification, artistic quality assessment and multimodal alignment detection.Taking industrial production for example, intelligent evaluation technology can accurately perform a comprehensive assessment of objects, such as size measurement, shape recognition, defect detection, and motion trajectory analysis. This special issue calls for novel and high-quality papers that introduce reliable solutions and technologies for the above-mentioned problems. The topics of interest include, but are not limited to: Intelligent visual evaluation system for diverse application scenarios, such as visual quality assessment, image enhancement, and object recognition; Lightweight evaluation technologies driven by intelligent perception, with a focus on breakthroughs in technologies such as adaptation to resource-constrained scenarios and few-shot learning paradigms; Embodied intelligence and multimodal evaluation framework, such as interactive scenario enhancement, cross-modal fusion modeling, and vision-action collaborative evaluation system for embodied intelligence; Practical applications of industrial intelligent evaluation, with a focus on breakthroughs in environmental perception technologies for different fields such as sewage water quality monitoring and air pollution monitoring. Manuscript submission information: Please refer to the Guide for authors to prepare your manuscript, and select the article type of “VSI:VIET” when submitting your manuscript online at the journal’s submission platform Submission site for Displays. Final Manuscript Submission Deadline: 30th June 2026 Keywords: (Intelligent evaluation) OR (embodied intelligence) OR (generative artificial intelligence) OR (quality assessment and enhancement) OR (object recognition)
Last updated by Dou Sun in

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