TY - GEN
T1 - Compressing the compound images by exploiting spatial correlation
AU - Lakshmi, P.
AU - Manimekalai, M. A.P.
AU - Kumar, Om Prakash
PY - 2011
Y1 - 2011
N2 - Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.
AB - Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.
UR - https://www.scopus.com/pages/publications/79961243939
UR - https://www.scopus.com/pages/publications/79961243939#tab=citedBy
U2 - 10.1109/ICECTECH.2011.5941859
DO - 10.1109/ICECTECH.2011.5941859
M3 - Conference contribution
AN - SCOPUS:79961243939
SN - 9781424486779
VL - 4
T3 - ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
SP - 71
EP - 74
BT - ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
T2 - 2011 3rd International Conference on Electronics Computer Technology, ICECT 2011
Y2 - 8 April 2011 through 10 April 2011
ER -