DocumentCode
1860361
Title
Image compression using high order wedgelets in a generalized quad-tree
Author
Rahimi, Azar ; Kassim, Ashraf A.
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
133
Lastpage
136
Abstract
Edges provide critical information which enables viewers to better discern objects in images. Although transform-based image compression schemes have been successful, they are unable to efficiently represent 2D edges. Wedgelets capture geometrical structures in images by explicitly defining an edge. In this paper, we introduce high order wedgelets in a more generalized form of quad-tree partitioning to realize improved compression performance compared to existing compression methods.
Keywords
data compression; image coding; quadtrees; splines (mathematics); 2D edge representation; edge detection; geometrical structure; image compression scheme; quad-tree partitioning; quadratic spline; wedgelet transform; Bandwidth; Bit rate; Discrete cosine transforms; Image coding; Image quality; Image storage; Predictive coding; Solid modeling; Spline; Wavelet coefficients; high order wedgelets; predictive coding; quad-tree partitioning; quadratic spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711709
Filename
4711709
Link To Document