Image Denoising using Hybrid Filter
Rekha Rani1, Sukhbir Singh2, Amit Malik3
1Ms. Rekha Rani (CSE), Assistant Professor in Department of Computer Science & Engineering,, SDITM, Israna, Panipat, Kurukshetra University, Kurukshetra, India.
2Dr. Sukhbir Singh (CSE) Head Of Department of computer science & Engineering, N.C. college of Engineering. Israna, Panipat, Kurukshetra university, India.
3Er. Amit Malik(ECE) Assistant Professor in Department of Electronics & Communication Engineering in Govt. Polytechnic, Sonepat. Technical Board Of Education, Chandigarh, India.
Manuscript received on May 01, 2012. | Revised Manuscript received on May 15, 2012. | Manuscript Published on June 10, 2012. | PP: 10-13 | Volume-1 Issue-1, June 2012. | Retrieval Number: A107051112/2012©BEIESP
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© The Authors. 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: Image Processing is the vast area in the field of research. There are various techniques used to remove Present noise. This paper represents obstacles related with image during transmission. The salt & pepper noise, Gaussian noise, impulse noise, Rayleigh noise are the such type of noise that are produced during transmission. Noise arises due to various factors like bit error rate, speed, dead pixels. The images become blurred due to camera movements, object movement or displacement of pixels. This paper deals with removal of combination of Gaussian noise, Rayleigh noise, impulse noise and blurredness, salt and pepper noise simultaneously from the image. The hybrid filter is such a tool that makes it successful to remove these noise form images and provide clarity to picture while preserving its details.
Keywords: PSNR, bit-rate, MSE, Weiner Filter, Multi adaptive filter, Median filter.