Local-statistics algorithm for smoothing noisy images with low signal-to-noise ratio
Abstract
A digital method for smoothing noisy images is described. The smoothing procedure is a local-statistics algorithm that is composed of median filtering and mean filtering. This method is suitable for noisy images which have low signal-to-noise ratio and strong edges. We present some results of computer simulations that demonstrate the effectiveness of the proposed algorithm.
- Publication:
-
Optics Communications
- Pub Date:
- August 1986
- DOI:
- 10.1016/0030-4018(86)90036-2
- Bibcode:
- 1986OptCo..59...11M
- Keywords:
-
- Data Smoothing;
- Image Enhancement;
- Image Filters;
- Noise Reduction;
- Signal To Noise Ratios;
- Statistical Analysis;
- Algorithms;
- Variance (Statistics);
- Instrumentation and Photography