A New Approach in Spatial Filtering to Reduce Speckle Noise
Md. Robiul Hoque1, Md. Rashed-Al-Mahfuz2
1Md. Robiul Hoque, Assistant Professor, Dept. of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
2Md. Rashed-Al-Mahfuz, Lecturer, Dept. of Computer Science and Engineering, Pabna Science and Technology University, Pabna, Bangladesh.
Manuscript received on June 15, 2011. | Revised Manuscript received on June 25, 2011. | Manuscript published on July 05, 2011. | PP: 29-32 | Volume-1 Issue-3, July 2011. | Retrieval Number: C046051311
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speckle noise gives a grainy appearance in radar, SAR (Synthetic Aperture Radar), MRI (Magnetic Resonance imaging) images as well as ultrasound medical images. It reduces the image contrast, which has a direct negative effect on texture-based analysis of the imageries. In this paper, a new approach for speckle reduction technique has been proposed and then its performances on simulated (image with artificial speckle noise) imageries with other existing filtering methods has been compared. It has been found that, the proposed technique has better performance than others.
Keywords: Image enhancement, Noise Reduction, Spatial Filter, Speckle Noise.