Special Issue on: "Image Processing in Computer Vision - Techniques and Advancements"
Dr. B. Balamurugan and Dr. R. M. SwarnaPriya, Vellore Institute of Technology, India
Dr. Shadi Aljawarneh, Jordan University of Science and Technology, Jordan
In the course of the last few decades, the communities related to image processing and computer vision have become the major contributors in computer science research. There is high impact and interest in the various theoretical aspects of image formation, modelling, pre-processing, analysis, object recognition, etc. which are further used for developing various applications. These theoretical aspects of image processing have further given way for the computer vision domains like robot vision, surveillance, visual tracking, super-resolution, scene analysis, action recognition, etc.
Computer vision is an interdisciplinary domain which makes the computer understand high-level knowledge using digital images or videos. In engineering perspective, computer vision deals with automating the human visual system. This process includes various methodologies for acquiring, processing, analysing and understanding the digital images thereby helping in taking high level decisions. In a scientific perspective, computer vision deals with the theoretical background of artificial systems that could extract valuable information from the images.
This special issue welcomes submissions of developing and novel techniques for computer vision and image processing problems; emerging and innovative applications of computer vision-based applications, as well as theoretical contributions that are relevant to computer vision and image processing.
Suitable topics include, but are not limited, to the following:
- Image formation, acquisition devices and sensors
- Device calibration, characterisation and modelling
- Image enhancement and restoration
- Image and video coding and compression
- Multimodal and multi-sensor models of image formation
- Image generation pipeline: algorithms and techniques
- Image registration
- Segmentation and grouping
- Early and biologically-inspired vision
- Colour and texture analyses
- Shape representation and matching
- Features extraction
- Visual attention and image saliency
- Cognitive models for interpretation, integration and control
- Machine learning technologies for vision
- Face and expression recognition
- Content-based indexing, search, and retrieval
- Object and face recognition
- Object detection and localisation
- Categorisation and Scene understanding
- Event and human activity recognition
- Computational photography
- Near duplicate image retrieval
- Entertainment imaging applications
- Camera networks and vision
- Document imaging in business
- Medical image applications
- Pervasive smart cameras
- Human and computer interaction
- Digital photography
- Media watermarking and security
- Multimedia forensics
- Mobile imaging
- Imaging for cultural heritage (modelling/simulation, virtual restoration)
- Image-based modelling and 3D reconstruction
- Stereo vision and structure from motion
- Active and robot vision
- optical flow and motion analyses
- Tracking and visual navigation
- Video surveillance and event detection
- Vision for robotics
- Video stabilisation
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 30 September, 2017
Notification to authors: 30 November, 2017
Final versions due by: 31 January, 2018