A Comparative Study of Wavelet Thresholding for Image Denoising

Dixit, Arun; Sharma, Poonam

doi:10.5815/ijigsp.2014.12.06

Cited by 20 publications

(12 citation statements)

References 18 publications

(31 reference statements)

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“…Here the input image is decomposed into detailed and approximation components Copyright © 2016 MECS I.J. Image, Graphics and Signal Processing, 2016, 9, 60-68 and hard or soft thresholding is applied [11][12]. Threshold selection plays an important role in noise reduction [16].…”

Section: Transform Domain Filtersmentioning

confidence: 99%

“…Speckle noise is formed due to constructive and destructive interferences of backscattered echoes from the scatteres and its presence complicates the visual inspection and further processing of BUS images. Over the years many techniques have been proposed to reduce the speckle noise [4][5][6][7][8][9][10][11][12][13][14][15][16] but due to its multiplicative nature, it cannot be removed completely. Efforts are still on to design the techniques which can smooth the speckled images without any loss of diagnostic information.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Speckle Reduction with Edge Preservation in BScan Breast Ultrasound Images

Lal¹,

Kaur²

2016

IJIGSP

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Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, on the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images.

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Section: Transform Domain Filtersmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Speckle Reduction with Edge Preservation in BScan Breast Ultrasound Images

Lal¹,

Kaur²

2016

IJIGSP

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“…On the other hand, wavelet transform gives frequency as well as time information [6].  Wavelet transforms gives good frequency resolution for low frequency components which are basically the average intensity values of the image and give high temporal resolution for high frequency components which are basically the edges of the digital image [10].  Basically Wavelet is a small wave used to approximate the given signal effectively.…”

Section: Benefits Of Wavelet Transform Over Fourier Transformmentioning

confidence: 99%

A New Perspective of Wavelet Based Image Denoising Using Different Wavelet Thresholding

2016

IJSR

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Abstract:In this paper, the basic principles of digital image processing and image denoising algorithms are summarized. Till now digital image processing has very large scope almost all of the technical domain i.e. image enhancement, image compression, image synthesis, image restoration, image denoising and image analysis. Present paper focuses in the domain of Image denoising. Image denoising is a process of removing noise without affecting and distorting the image and produce a better quality of denoised image. In the present paper, authors observes the effect of various wavelet thresholding methods such as Visushrink, Bayesshrink, Sureshrink and compare all of these with respect to denoised image and introduce a proposed denoising algorithm to determine that it gives better result compare to existing methods.

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“…Here the input image is decomposed into detailed and approximation components and hard or soft thresholding is applied [11][12]. Threshold selection plays an important role in noise reduction [16].…”

Section: Transform Domain Filtersmentioning

confidence: 99%

“…Over the years many techniques have been proposed to reduce the speckle noise [4][5][6][7][8][9][10][11][12][13][14][15][16] but due to its multiplicative nature, it cannot be removed completely. Efforts are still on to design the techniques which can smooth the speckled images without any loss of diagnostic information.…”

Section: Related Workmentioning

confidence: 99%

A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques

Lal¹,

Kaur²,

Gupta³

2015

IJIGSP

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Abstract-Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, on the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images.

show abstract

A Comparative Study of Wavelet Thresholding for Image Denoising

Cited by 20 publications

References 18 publications

Speckle Reduction with Edge Preservation in BScan Breast Ultrasound Images

Speckle Reduction with Edge Preservation in BScan Breast Ultrasound Images

A New Perspective of Wavelet Based Image Denoising Using Different Wavelet Thresholding

A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques

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