Comparison of despeckle filters for ultrasound images

Author

Balodi, Arun ; Dewal, M.L. ; Rawat, Anurag

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India

fYear

2015

fDate

11-13 March 2015

Firstpage

1919

Lastpage

1924

Abstract

A comparative study of despeckle filters for ultrasound images have been presented in this paper. We know that the ultrasound images are corrupted by speckle noise, which has limited the growth of automatic diagnosis for ultrasound images. This paper compiles twelve despeckling filters for speckle noise reduction. A comparative study has been done in terms of preserving the texture features and edges. Six stabilized evaluation metrics, namely, signal to noise ratio (SNR), root mean square error (RMSE), peak signal to noise ratio (PSNR), structural similarity (SSIM) index, beta metric (β) and figure of merit (FoM) are calculated to investigate the performance of the despeckle filters.

Keywords

biomedical ultrasonics; image filtering; image texture; mean square error methods; medical image processing; speckle; ultrasonic imaging; FoM; PSNR; RMSE; SSIM; automatic diagnosis; beta metric; despeckle filters; despeckling filters; figure of merit; peak signal to noise ratio; root mean square error; speckle noise reduction; structural similarity index; ultrasound images; Image edge detection; Measurement; Optical filters; Signal to noise ratio; Speckle; Wiener filters; Beta metric; Despeckle; FoM; PSNR; RMSE; SNR; SSIM;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on

Conference_Location

New Delhi

Print_ISBN

978-9-3805-4415-1

Type

conf

Filename

7100578