Journal of Visual Communication and Image Representation

Journal of Visual Communication and Image Representation - ISSN 1047-3203
Source Normalized Impact per Paper (SNIP): 1.509 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.646 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2.164 (2016) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 2.215 (2016) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 50-57
Issues: 8 issues
ISSN: 10473203

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Description

The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.

Research Areas include:

• Image scanning, sampling, and tessellation
• Image representation by partial information
• Local and global schemes of image representation
• Analog and digital image processing
• Fractals and mathematical morphology
• Image understanding and scene analysis
• Deterministic and stochastic image modeling
• Visual data reduction and compression
• Image coding and video communication
• Biological and medical imaging
• Early processing in biological visual systems
• Psychophysical analysis of visual perception
• Astronomical and geophysical imaging
• Visualization of nonlinear natural phenomena
• real-time imaging

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