Advances in Mathematical Methods for Image and Signal Processing
1Qingdao Technological University, Qingdao, Shandong, China
2Concordia University, Montreal, QC, Canada
3Department of Computing and Information Systems, Trent University, Peterborough, ON, Canada
4Advanced Institute of Industrial Technology, Japan
5Central Michigan University, Department of Computer Science, Mount Pleasant, MI, USA
Advances in Mathematical Methods for Image and Signal Processing
Description
The special issue is aimed to reflect the recent advances in mathematical methods for image and signal processing such as fractional calculus method, language processing methods based on rough set notion, image edge extracting method based on multivariate wavelet, Hilbert transform, PDE method, HHT transform, and so forth. We invite authors to submit original research as well as review articles to this special issue. Potential topics include, but are not limited to:
- Fractional calculus for image processing
- Wavelet method based on fractional calculus
- Rough set method for signal processing
- Mathematical methods for image edge extracting
- Hilbert transform in signal processing
- PDE method for image processing
- HHT transform in signal processing
- Other mathematical methods for image and signal processing
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/jam/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jam/misp/ according to the following timetable: