Title :
Restoration from image degraded by white noise based on iterative spectral subtraction method
Author :
Kobayashi, Tetsuya ; Shimamura, Tetsuya ; Hosoya, Tetsuo ; Takahashi, Yoshitake
Author_Institution :
Graduate Sch. of Sci. & Eng., Saitama Univ., Japan
Abstract :
The application of the spectral subtraction method to image restoration is investigated. Comparison of the performance of the spectral subtraction method with that of the Wiener filter, in an ideal case, shows that the spectral subtraction method provides an improvement. In order to improve further the performance of the spectral subtraction method, an iterative algorithm is utilized with a frequency-division based noise estimation technique.
Keywords :
Wiener filters; image denoising; image restoration; iterative methods; parameter estimation; spectral analysis; white noise; Wiener filter; frequency-division based noise estimation technique; image restoration; iterative spectral subtraction method; white noise degraded image; Degradation; Fourier transforms; Frequency domain analysis; Frequency estimation; Image restoration; Iterative methods; Noise reduction; Radioactive materials; White noise; Wiener filter;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1466073
