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SIPIJ 2019 : Signal & Image Processing : An International Journal

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Link: http://www.airccse.org/journal/sipij/index.html
 
When N/A
Where N/A
Submission Deadline Jun 22, 2019
Notification Due Jul 22, 2019
Final Version Due Jul 30, 2019
Categories    signal processing   image processing   multimedia   visualization
 

Call For Papers

Signal & Image Processing : An International Journal(SIPIJ 2019)

Call for Papers

Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing. Topics of interest include, but are not limited to, the following

Topics of Interest

  • 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
  • Storage and Retrieval

Paper Submission

Authors are invited to submit papers for this journal through Email: sipijjournal@airccse.org or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Submission Deadline: June 22, 2019
Authors Notification: July 22, 2019
Final Manuscript Due:July 30, 2019
Publication Date:Determined by the Editor-in-Chief

Current Issue

March 2019, Volume 10, Number 2

Perceptually Lossless Compression with Error Concealment for Periscope and Sonar Videos
Chiman Kwan1, Jude Larkin1, Bence Budavari1, Eric Shang1, and Trac D. Tran2, 1Applied Research LLC, USA and
2The Johns Hopkins University, USA

Editor In Chief

Associate Editor

Editorial Board

... More

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