Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Efficient Removal of Impulse Noise in Images DTBDM


Affiliations
1 Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Kakapalayam , Salem, India
2 Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Kakapalayam, Salem, India
     

   Subscribe/Renew Journal


Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper, we propose an efficient denoising scheme and its algorithm for the removal of random –valued impulse noise. To achieve the goal of low cost, a low complexity algorithm is produced. We employ a decision tree based impulse noise detector to detect the noisy pixels, and an edge preserving filter to reconstruct the noisy pixels. An adaptive technology is used to enhance the effects of removal of impulse noise. Our experimental results demonstrate that the proposed technique can obtain better performance in terms of both quantitative evaluation and visual quality than the lower complexity methods. Moreover, the performance can be compared to the complexity methods. This design requires only low computational complexity and two line buffers. Its hardware cost is low cost and suitable to many real -time applications.

Keywords

Image Denoising, Impulse Noise, Impulse Detector.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 217

PDF Views: 4




  • Efficient Removal of Impulse Noise in Images DTBDM

Abstract Views: 217  |  PDF Views: 4

Authors

K. Papitha
Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Kakapalayam , Salem, India
R. Shanmugasundaram
Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Kakapalayam, Salem, India
N. Sandhiakumari
Department of Electronics and Communication Engineering, Knowledge Institute of Technology, Kakapalayam, Salem, India

Abstract


Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper, we propose an efficient denoising scheme and its algorithm for the removal of random –valued impulse noise. To achieve the goal of low cost, a low complexity algorithm is produced. We employ a decision tree based impulse noise detector to detect the noisy pixels, and an edge preserving filter to reconstruct the noisy pixels. An adaptive technology is used to enhance the effects of removal of impulse noise. Our experimental results demonstrate that the proposed technique can obtain better performance in terms of both quantitative evaluation and visual quality than the lower complexity methods. Moreover, the performance can be compared to the complexity methods. This design requires only low computational complexity and two line buffers. Its hardware cost is low cost and suitable to many real -time applications.

Keywords


Image Denoising, Impulse Noise, Impulse Detector.