Title :
Arc-length compression
Author :
Kirsanov, Danil ; Gortler, Steven J.
Author_Institution :
Harvard Univ., Boston, MA, USA
Abstract :
Summary form only given. A novel method for lossy compression of the two-dimensional curves is introduced based on the arc-length parameterization. This method has a number of advantages: it is progressive, converges uniformly, and requires the number of the bits proportional to the total arc-length of the curve. The method is applied to the compression of the handwritten letters and scanlines of the natural images.
Keywords :
data compression; image coding; arc-length compression; arc-length parameterization; handwritten letters compression; lossy compression; natural image scanline; two-dimensional curve; Bismuth; Data compression; Image coding; Image converters; Testing;
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-7695-1896-6
DOI :
10.1109/DCC.2003.1194055