Adaptive wavelet packet-based de-speckling of ultrasound images with bilateral filter.
A new adaptive wavelet packet-based approach to minimize speckle noise in ultrasound images is proposed. This method combines wavelet packet thresholding with a bilateral filter. Here, the best bases after wavelet packet decomposition are selected by comparing the first singular value of all sub-bands, and the noisy coefficients are thresholded using a modified NeighShrink technique. The algorithm is tested with various ultrasound images, and the results, in terms of peak signal-to-noise ratio and mean structural similarity values, are compared with those for some well-known de-speckling techniques. The simulation results indicate that the proposed method has better potential to minimize speckle noise and retain fine details of the ultrasound image.
Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Peelamedu, Coimbatore, India. Electronic address: rajanesakki@yahoo.com.
Sankaralingam
S
Esakkirajan
Chinna Thambi
CT
Vimalraj
Rashad
R
Muhammed
Ganapathi
G
Subramanian
D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D059629:Signal-To-Noise Ratio; D016216:Ultrasonography, Prenatal / Q000379:methods*; D058067:Wavelet Analysis
Bilateral filter; Singular value decomposition; Speckle noise; Ultrasound image; Wavelet packet transform