Abstract:
Hexagonal structure is different from the traditionnal
square structure for image representation. The geometrical
arrangement of pixels on hexagonal structure can be described in
terms of a hexagonal grid. Uniformly separating image into seven
similar copies with a smaller scale has commonly been used for
parallel and accurate image processing on hexagonal structure.
However, all the existing hardware for capturing image and for
displaying image are produced based on square architecture. It
has become a serious problem affecting the advanced research
based on hexagonal structure. Furthermore, the current techniques
used for uniform separation of images on hexagonal structure
do not coincide with the rectangular shape of images. This
has been an obstacle in the use of hexagonal structure for image
processing. In this paper, we briefly review a newly developed
virtual hexagonal structure that is scalable. Based on this virtual
structure, algorithms for uniform image separation are presented.
The virtual hexagonal structure retains image resolution
during the process of image separation, and does not introduce
distortion. Furthermore, images can be smoothly and easily
transferred between the traditional square structure and the
hexagonal structure while the image shape is kept in rectangle.
