DocumentCode :
290168
Title :
Fast segmented image coding using weakly separable bases
Author :
Philips, Wilfried ; Christopoulos, Charilaos
Author_Institution :
ELIS, Ghent Univ., Belgium
Volume :
v
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
In segmented image coding (SIC) images are segmented and the texture of a segment is expanded as a weighted sum of polynomial base functions, orthogonal on that segment. At very low bit rates, SIC produces images of better subjective quality than standard techniques such as JPEG. The computational requirements of traditional SIC are huge since the number of operations for computing b orthogonal base functions increases faster than quadratically with b. This paper presents a new class of orthogonal bases which can be computed extremely quickly because they are weakly separable (WS). The number of operations needed for generating them grows nearly linearly with b. Typically, WS bases can be generated 8 to 30 times faster than their traditional counterparts. A coding example shows that their use does not affect subjective image quality
Keywords :
computational complexity; data compression; image coding; image segmentation; image texture; polynomials; fast segmented image coding; orthogonal functions; polynomial base functions; subjective image quality; texture; very low bit rates; weakly separable bases; weighted sum; Bit rate; Image coding; Image quality; Image reconstruction; Image segmentation; Linear approximation; Polynomials; Shape; Silicon carbide;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389417
Filename :
389417
Link To Document :
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