DocumentCode :
2061541
Title :
Scalable image coding by spline approximation for a gray-scale image
Author :
Haruki, Ryoji ; Horiuchi, Takahiko
Author_Institution :
Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
Volume :
1
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
407
Abstract :
The proposed method expresses a gray-scale image by parametric spline functions for edge components and by two-variable spline functions for low frequency components. It can reconstruct the image keeping its quality for the basic shape transformation. If a binary image is input as a special case, the proposed method can make a scalable vector font automatically. The performance of the proposed method is verified by some experiments
Keywords :
function approximation; image coding; image reconstruction; performance evaluation; splines (mathematics); binary image; edge components; experiments; gray-scale image; image reconstruction; low frequency components; parametric spline functions; performance; quality; scalable image coding; scalable vector font; shape transformation; spline approximation; two-variable spline functions; Biomedical imaging; Discrete cosine transforms; Frequency estimation; Gray-scale; Image coding; Image reconstruction; Image segmentation; Laboratories; Shape; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.619879
Filename :
619879
Link To Document :
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