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
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