Title :
Signal-to-noise in the reconstruction of the intensity dependent spread (IDS) filter
Author :
Najand, Shahriar ; Blough, Douglas ; Healey, Glenn
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Abstract :
In this paper, we show that for images corrupted by white Gaussian noise, a minimum signal-to-noise ratio (SNR) can be guaranteed in the IDS reconstructed image by adjusting the spread factor of the IDS filter. This can be done with better SNR at low intensities, and less blur at high intensities than for a comparable linear-shift-invariant (LSI) Gaussian filter
Keywords :
Gaussian noise; filtering theory; image reconstruction; white noise; IDS filter; SNR; image reconstruction; intensity dependent spread filter; linear-shift-invariant Gaussian filter; minimum signal-to-noise ratio; spread factor adjustment; white Gaussian noise; Band pass filters; Gaussian noise; Humans; Image reconstruction; Integrated circuit modeling; Intrusion detection; Large scale integration; Noise generators; Signal to noise ratio; White noise;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647794
