Digital Image Processing

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A Novel Approach to Image Denoising by Combining Neighshrink and Sureshrink in Wavelet Domain


Affiliations
1 Department of Computer Science, Sadakathullah Appa College, Tirunelveli-627011, Tamilnadu, India
2 Department of Computer Science, S. T. Hindu College, Nagarcoil-629002, Tamilnadu, India
3 Centre for Information Technology and Engineering, Manonmanium Sundaranar University, Tirunelveli, Tamilnadu-627012, India
4 Department of Electronics and Communication Engineering, Kamaraj College of Engineering and Technology, SPGC Nagar, Post Box No.12, Virudhunagar-626001, Tamilnadu, India
     

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Removing noise from the original image is still a challenging problem for researchers. A traditional way to remove noise from image data is to employ spatial filters. With wavelet transform gaining popularity in the last two decades, various algorithms for denoising in wavelet domain were introduced. In this paper, it is proposed to combine Neighshrink and Sureshrink to denoise an image corrupted by additive white Gaussian noise in wavelet domain.

Keywords

Image Denoising, Dual Tree Discrete Wavelet Packet Transform, Root Mean Square Error, Peak Signal to Noise Ratio, Quality Index and Normalized Weighted Performance Metric.
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  • A Novel Approach to Image Denoising by Combining Neighshrink and Sureshrink in Wavelet Domain

Abstract Views: 210  |  PDF Views: 2

Authors

S. Kother Mohideen
Department of Computer Science, Sadakathullah Appa College, Tirunelveli-627011, Tamilnadu, India
S. Arumuga Perumal
Department of Computer Science, S. T. Hindu College, Nagarcoil-629002, Tamilnadu, India
N. Krishnan
Centre for Information Technology and Engineering, Manonmanium Sundaranar University, Tirunelveli, Tamilnadu-627012, India
K. Kannan
Department of Electronics and Communication Engineering, Kamaraj College of Engineering and Technology, SPGC Nagar, Post Box No.12, Virudhunagar-626001, Tamilnadu, India

Abstract


Removing noise from the original image is still a challenging problem for researchers. A traditional way to remove noise from image data is to employ spatial filters. With wavelet transform gaining popularity in the last two decades, various algorithms for denoising in wavelet domain were introduced. In this paper, it is proposed to combine Neighshrink and Sureshrink to denoise an image corrupted by additive white Gaussian noise in wavelet domain.

Keywords


Image Denoising, Dual Tree Discrete Wavelet Packet Transform, Root Mean Square Error, Peak Signal to Noise Ratio, Quality Index and Normalized Weighted Performance Metric.