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JRTIP 2014 : Journal of Real-Time Image Processing

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Link: http://www.springer.com/computer/image+processing/journal/11554
 
When N/A
Where N/A
Submission Deadline Jan 2, 2014
Notification Due Sep 15, 2014
Final Version Due Dec 15, 2014
Categories    real-time image processing   parallel computing   optimisation   architecture
 

Call For Papers

«Journal of Real-Time Image Processing (JRTIP) »
Special Issue on Real-Time Processing of Mecial Images
Guest Editors: Mohamed Akil and Mohamed Hédi Bédoui

Laboratoire d'informatique Gaspard-Monge, UMR 8049 IGM-LabInfo, Équipe A3SI
Département Informatique, ESIEE Paris, France

Laboratoire de Biophysique, UR 0827, Équipe TIM
Faculté de Médecine de Monastir, Tunisie

More than 50 percent of all data generated in life sciences is in the form of image, but the potential use of this data is only partially tapped. The latest high-throughput image-acquisition devices in the laboratory produce thousands of images a day and volumes are increasing. While no system can supplant trained specialists, adopting systems to help bring objectivity and automation to image analysis can help streamline
research. The challenge is many current image-analysis software tools require considerable response time or temporary storage space. These performance requirements have continuously increased, especially when they are executed under real-time constraints. Actually medical imaging applications may involve different standards and different algorithms used at different stages of the processing chain.

JRTIP ‘Journal of Real-Time Image Processing’ is intended for researchers from both academia and industry, who are active in the multidisciplinary field of image and video processing. JRTIP bridges the gap between the theory and practice of image processing. It covers real-time image processing systems and algorithms for industrial, medical, consumer electronics, portable and embedded device applications. It presents practical, low-cost, and real-time architectures for image processing systems as well as tools,
simulation and modelling for real-time image processing algorithms and their implementations.

This special issue on ‘Real-Time Processing of Medical Images’ is intended to present the current state-ofthe-art in the field of parallel programming of imaging applications and the future trends for real-time medical image processing, including parallel computing (computational models, parallel algorithms and hierarchical memory optimizations), programming frameworks, real-time implementation of embedded medical image processing applications on parallel architectures: Multi-core platforms, GPU architecture, parallel modern workstations based on RISC processors, cell architecture, etc..

Authors are solicited to contribute to this special issue by submitting original and unpublished papers that illustrate research results, projects, surveying works and industrial experiences that are dealing with theory and applications within the theme of parallel computing for Real-Time Image Processing with emphasis placed on the real-time aspects of parallel programming of medical imaging application (parallel computational models, performance optimisation and hierarchical memory, new parallel paradigms to map
algorithms efficiently, low, medium level and coarse-grain algorithms, and embedded applications). Papers and reviewers are solicited in any of the following or related areas for parallel computing and realtime processing for:

-Medical ing by
 *Applied Digital Signal Processing
 *Coding and Transmission
 *Digital Signal Processing in Communications
 *Emerging technologies
 *Emerging Technologies in Digital Signal Processing
 *Image & signal processing Applications
 *Image Acquisition and Display:
 *Image and Video Processing & Analysis
 *Image formation
 *Image scanning, display, and printing

-Parallel computing for real time medical image processing
 *Models and parallel algorithms for medical imaging
 *Advanced techniques for parallel image processing
 *Advanced data visualization techniques and biomedical imaging technologies
 *Multi-thread and multi core programming (homogenous and heterogeneous architecture) in
healthcare software development
 *Advanced medical technology based on parallel programming of GPU and multi-GPU
 *Hierarchical memory and optimisation techniques to enhance cache and memory utilization of healthcare software.

-Programming, optimisation and compilation techniques, development environments
 *Medical application framework based on parallel architectures
 *Optimisation and compilation techniques of medical algorithms
 *Software for big data saving and processing in medical imaging

-Real-time and embedded medical image processing applications and parallel implementation in:
 *Medical imaging
 *Interactive equipment, embedded vision sensors
 *Virtual reality
 *High speed image processing applications
 *2D/3D measurement systems

The guidelines for authors and reviewers are available for download from the JRTIP webpage: http://www.springer.com/11554.

It is expected that all potential authors would volunteer as reviewers to support the efficiency of the review process for this special issue. They can register as reviewers with their profile of expertise and contact information in the Editorial Manager: www.editorialmanager.com/jrtip where alsosubmissions can be uploaded via indicatingto be considered for the Special Issue on Real-Time Processing of Medical Images.

The issue is to be reviewed on a “fast track” basis. Prior to sending full paper submissions, it is highly recommended to query the appropriateness of submissions with a 100-200 word abstract by contacting the guest editor with the following contact information:

Professor Mohamed Akil
Laboratoire d'informatique Gaspard-Monge,
UMR 8049 IGM-LabInfo, Équipe A3SI
Département informatique, ESIEE Paris
Cité Descartes, BP 99, 93162 Noisy-le-Grand
Cedex, France
phone : ++33 (1) 45 92 66 26
fax : ++33 (1) 45 92 66 99
Email : akilm@esiee.fr

Professor Mohamed Hédi Bédoui
Laboratoire de Biophysique, UR 0827,
Équipe TIM
Faculté de Médecine de Monastir
Avenue Avicenne, 5019 Monastir
Tunisie
phone : ++216 73 46 22 00
fax : ++216 73 46 07 37
Email : medhedi.bedoui@fmm.rnu.tn

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