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