TY  - JOUR
T1  - A Comparative Study on Color Image Compression Based on Fractal
Geometrical Topologies for Partition Iteration
AU - Das, Shimal AU - Ghoshal, Dibyendu 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 23
SP  - 4719
EP  - 4731
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4719.4731
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4719.4731
KW  - Hue-saturation intensity colour space
KW  -fractal geometry
KW  -affine transformation
KW  -hausdorff distance
KW  -contrast and luminance adjustment
KW  -translation
KW  -rotation
AB  - Fractal geometry has been found to be an unbelievable breakthrough in solving the segmentation
and compression problems of digital images. In present study, effect of variations of colour schemes has been
studied with the help of various types of geometrical topology for the basic segmentation process. The most
and popular RGB colour space performance has been compared with HSI colour space along with quad tree and
isosceles geometrical segmentation. It has been found that hue-situation intensity scheme is superior to RGB
schemes for the measurement of PSNR. The execution time for isosceles triangle based geometrical
segmentation yield lower processing time. The major efficiency of the study is Multifoods compression ratio
when HSI scheme has been adopted. Both types of segmentation viz. Quad tree and isosceles triangle approach
have produced nearly four times increment in compression ratio. During the transformation all the channels,
e.g., RGB and HSI have been treated separately. The results have been compared with those available from
recent literature and it has been found that the proposed schemes of sequence of studies are superior to the
earlier ones.
ER  -