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DAUBECHIES COMPLEX WAVELET TRANSFORM BASED MULTILEVEL SHRINKAGE FOR DEBLURRING OF MEDICAL IMAGES IN PRESENCE OF NOISE

ASHISH KHARE

Department of Electronics and Communication, University of Allahabad, Allahabad, 211002, India

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UMA SHANKER TIWARY

Indian Institute of Information Technology, Allahabad, 211011, India

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, and

MOONGU JEON

Department of Information and Communication, Gwangju Institute of Science and Technology, Gwangju, 500712, Republic of Korea

Corresponding author.

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https://doi.org/10.1142/S0219691309003100Cited by:22 (Source: Crossref)

Abstract

Deblurring in the presence of noise is a hard problem, especially in ultrasonic and CT images. In this paper, we propose a new method of image deblurring in presence of noise, using symmetric Daubechies complex wavelet transform. The proposed method is based on shrinkage of multilevel Daubechies complex wavelet coefficients, and is adaptive as it uses shrinkage function based on the variance of wavelet coefficients as well as the mean and the median of absolute wavelet coefficients at a particular level. The results obtained after the application of the proposed method demonstrate an improved performance over other related methods available in literature.

Keywords:

AMSC: 22E46, 53C35, 57S20

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