A Unified Approach to the Change of Resolution: Space and Gray-Level July 1989 (vol. 11 no. 7) pp. 739-742
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.192468
It is shown that by defining a suitable measure for the comparison of images, changes in resolution can be treated with the same tool as changes in color resolution. A gray-tone image, for example, can be compared to a half-tone image having only two colors (black and white), but of higher spatial resolution. A graph-theoretical definition of the basic measure used is introduced. This is followed by application to spatial resampling and gray-level requantization. This results in a hybrid treatment of resolution, and the possibility of trading spatial for gray-level resolution and vice versa. [1] M. Ben-Or, "Lower bounds for algebraic computation trees," inProc. 15th ACM Symp. Theory Comput., Boston, MA, 1983, pp. 80- 86.
Index Terms:
graph theory; computer vision; resolution change; gray-tone image; half-tone image; spatial resampling; gray-level requantization; computer vision; graph theory
Citation:
S. Peleg, M. Werman, H. Rom, "A Unified Approach to the Change of Resolution: Space and Gray-Level," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 739-742, July 1989, doi:10.1109/34.192468 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||