Title :
Compression method for binary tree like bitmaps
Author :
Piros, Sandor J. ; Korondi, Peter
Author_Institution :
Dept. of Mechatron., Opt. & Eng. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
Abstract :
In previous publications we had shown that a biological process, like cell division and differentiation could be described as a kind of wavelet transformation. By mimicking this process, we are able to transform a 2-3 or more dimensional image or dataset into a perfect binary tree structure. Here we show potentially possible approach how to compress this kind of bitmap. The main advantage of this lossless method is that the resolution of the reconstructed image is doubling by each step.
Keywords :
data compression; image coding; image reconstruction; image resolution; binary tree structure; bitmaps; compression method; image reconstruction resolution; lossless method; Binary trees; Encoding; Entropy; Image coding; Informatics; Organisms; Wavelet transforms; binary tree; bioinformatics; image compression; image transformation; wavelet;
Conference_Titel :
Mechatronics and its Applications (ISMA), 2012 8th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-0860-1
DOI :
10.1109/ISMA.2012.6215197
