DocumentCode
1797895
Title
The application of B-spline based interpolation in real-time image enlarging processing
Author
Li Kai-yu ; Wang Wen-dong ; Zheng Kai-wen ; Liu Wen-bo ; Xu Gui-li
Author_Institution
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear
2014
fDate
15-17 Nov. 2014
Firstpage
823
Lastpage
827
Abstract
Efficient algorithms for the continuous representation of a discrete signal in terms of B-splines and for interpolative signal reconstruction have been proposed in this paper. It analyzes the relationship between the degree of the spline and the quality of the interpolation. By taking the z-transforms of the sampled B-spline functions, a fast interpolation algorithm based on digital filters of IIR and FIR is proposed, which is quite suitable for hardware realization with its ideal processing result and high-speed computing. Through the example of image enlargement, the application of cubic B-spline based interpolation in image processing is investigated. It designs a fast and high-quality image enlargement and display system based on FPGA. It is proved in the experiment to be qualified for the real-time image processing.
Keywords
FIR filters; IIR filters; Z transforms; image processing; interpolation; signal reconstruction; signal representation; splines (mathematics); B-spline functions; FIR; FPGA; IIR; cubic B-spline based interpolation; digital filters; discrete signal representation; display system; efficient algorithms; fast interpolation algorithm; hardware realization; high speed computing; image enlargement; interpolative signal reconstruction; real-time image enlarging processing; z-transforms; Equations; Field programmable gate arrays; Finite impulse response filters; Interpolation; Real-time systems; Splines (mathematics); FPGA; cubic B-spline; finite impulse response; infinite impulse response; interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-5457-5
Type
conf
DOI
10.1109/ICSAI.2014.7009398
Filename
7009398
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