Journal of Digital Image Processing and Computer Vision

Journal of Digital Image Processing and Computer Vision is a peer reviewed journal that presents insightful papers on theory and practical application of Digital Image Processing and Computer Vision. The Journal is committed to promote basic research as well as application development in this highly specialized field.

Topics covered in the journal (but not exclusively) are the following:

Focus and Scope: Classification, Feature extraction, Pattern recognition, Projection, Multi-scale signal analysis, Some techniques which are used in digital image processing include: Pixelation, Linear filtering, Principal components analysis, Independent component analysis
Hidden Markov models, Anisotropic diffusion, Partial differential equations, Self-organizing maps, Neural networks, Wavelets