Title :
Analysis on finite length solubility of linear symmetric real blurring kernel and relevant judging algorithm
Author :
Bing Hao ; Tingzhi Shen ; Nan Yang
Author_Institution :
Beijing Inst. of Technol. Sch. of Inf. Sci. & Technol., Beijing
Abstract :
The paper mainly discusses the finite length solubility of 1-dimension and 2-dimension linear symmetric real blurring kernel function (LSRBKF) applied in signal and image processing. The necessary and sufficient conditions of the finite solubility are proposed and proved then. Given the known LSRBKF, two simple and practicable algorithms for judging whether the finite anti blurring can realize are developed, and positive experiment results are obtained through simulation.
Keywords :
image restoration; polynomials; anti blurring; finite length solubility analysis; image restoration; linear symmetric real image blurring kernel; polynomial; relevant judging algorithm; Algorithm design and analysis; Image analysis; Kernel; Least squares approximation; Least squares methods; Measurement standards; Paper technology; Signal processing; Signal processing algorithms; Sufficient conditions; finite solubility; judging algorithm; linear symmetric real blurring kernel function; simulation;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697281
