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논문검색

Denoising Medical Ultrasound Images and Error Estimate by Translation-Invariant Wavelets

초록

영어

Speckle Noise is a natural characteristic of medical ultrasound images. It is a term used for the granular form that appears in B-Scan and can be considered as a kind of multiplicative noise. Speckle Noise reduces the ability of an observer to distinguish fine details in diagnostic testing. It also limits the effective implementation of image processing such as edge detection, segmentation and volume rendering in 3 D. Therefore; treatment methods of speckle noise were sought to improve the image quality and to increase the capacity of diagnostic medical ultrasound images. Such as median filters, Wiener and linear filters (Persona & Malik, SRAD ... ..).The method used in this work is 2-D translation invariant forward wavelet transform, it is used in image processing, including noise reduction applications in medical imaging.

목차

Abstract
 1. Introduction
 2. Wavelets
 3. Two Dimensional Dwt (2d dwt)
 4. The Translation Invariant Wavelet Representations
  4.1. Computing the Wavelet Transforms for all the Translates
  4.2. Search for the Minimal Cost Coefficients
 5. Experiment Results
 6. Conclusion
 References

저자정보

  • R. Bouchouareb University of Batna, Faculty of Engineering Sciences, Department of Electronic, Batna, ALGERIA
  • N. Hedjazi University of Batna, Faculty of Engineering Sciences, Department of Electronic, Batna, ALGERIA
  • D.Benatia University of Batna, Faculty of Engineering Sciences, Department of Electronic, Batna, ALGERIA

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