EURASIP Journal on Image and Video Processing is a peer-reviewed open access journal published under the brand SpringerOpen. It is intended for researchers from both academia and industry, who are active in the multidisciplinary field of image and video processing. The scope of the journal covers all theoretical and practical aspects of the domain, from basic research to application development. Contributed articles on image and video processing may be focused on specific techniques, on diverse functionalities and services, within the context of various activity sectors (e.g., multimedia, medical, aerial, robotics, security, communications, arts), or on employing diverse data formats.
EURASIP Journal on Image and Video Processing
Description
Identifiers
e-ISSN | 1687-5281 |
DOI | 10.1007/13640.1687-5281 |
Publisher
Springer International Publishing
Additional information
Data set: Springer
Articles
EURASIP Journal on Image and Video Processing > 2019 > 2019 > 1 > 1-11
Augmented reality is a rapidly growing area of interactive design where it allows virtual contents to be seamlessly integrated with displays of real-world scenes. Along with the meteoric rise of smart mobile devices capable of producing interesting augmented reality environments, the field of interactive game contents has been explored. Pokémon GO, which is released by Niantic, is one of the representative...
EURASIP Journal on Image and Video Processing > 2019 > 2019 > 1 > 1-22
Long-range imaging with visible or infrared observation systems is typically hampered by atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and sharpen such recorded image sequences based on the image data only. Although successful restoration has been achieved on static scenes in the past, a significant challenge remains in accounting for moving objects such that...
EURASIP Journal on Image and Video Processing > 2019 > 2019 > 1 > 1-7
Wireless capsule endoscope allows painless endoscopic imaging of the gastrointestinal track of humans. However, the whole procedure will generate a large number of capsule endoscopy images (CEIs) for reading and recognizing. In order to save the time and energy of physicians, computer-aided analysis methods are imperatively needed. Due to the influence of air bubble, illumination, and shooting angle,...