Title :
Layered FDR of the Image of the Threshold Filtering Algorithm
Author :
Huang, Yongdong ; Li, Lijing
Author_Institution :
Inst. of Inf. & Syst. Sci., North Univ. for Nat., Yinchuan, China
Abstract :
Applying the FDR threshold filtering algorithm which is put forward by Felix Abramovich and Yoav Benjamini to image filter, on the basis of the above, for the image layered FDR threshold filtering algorithm is put forward in this paper. Through respectively making multiple hypotheses testing to the low frequency coefficients at the last level and the high frequency coefficients at other levels in horizontal, vertical and diagonal orientations, multiple threshold values are obtained At last, taking the gained threshold values as the criterion we could threshold all the coefficients at the individual level. The simulation results for images of lena, cameraman show that the proposed threshold algorithm is better than median filter, universal threshold, FDR and free distributed FDR threshold filtering algorithm in signal to noise ratio, peak signal to noise ratio and mean squared error .
Keywords :
filtering theory; image processing; statistical analysis; false discovery rate; image filter; layered FDR; mean squared error; signal to noise ratio; threshold filtering; Computer languages; Electronic mail; Filtering; Filtering algorithms; PSNR; Testing;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659235