Performance analysis of speckle ultrasound image filtering

REFERENCES

• Aja-FernandezS, San Jose EsteparR, Alberola LopezC, WestinCF. 2006. Image quality assessment based on local variance. In: 28th IEEE EMBS Annual International Conference; New York, USA. p. 4815–4818.
   Google Scholar
• ChangS, YuB, VetterliM. 2000. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Process.9(9):1532–1546.
   PubMed Web of Science ®Google Scholar
• DengY, WangY, ShenY. 2011. Speckle reduction of ultrasound images based on Rayleigh-trimmed anisotropic diffusion filter. Pattern Recogn Lett.32(13):1516–1525.
   Web of Science ®Google Scholar
• DonohoD, JohnstoneI. 1994. Ideal spatial adaptation via wavelet shrinkage. Biometrika. 81:425–455.
   Web of Science ®Google Scholar
• DonohoD, JohnstoneI. 1995. Adapting to unknown smoothness via wavelet shrinkage. J Am Stat Assoc.90(432):1200–1224.
   Web of Science ®Google Scholar
• FinnS, GlavinM, JonesE. 2011. Echocardiographic speckle reduction comparison. IEEE Trans Ultrason, Ferroelectr Freq Control. 58(1):82–101.
   PubMed Web of Science ®Google Scholar
• FrostV, StilesJ, ShanmuganK, HoltzmanJ. 1982. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans Pattern Anal Mach Intell. 4(2):157–166.
   PubMed Web of Science ®Google Scholar
• FuS, RuanQ, FuS, WangW, LiY. 2005. A compound anisotropic diffusion for ultrasonic image denoising and edge enhancement. IEEE Int Symp Circuits Syst. 3:2779–2782.
   Google Scholar
• HuangJ, YangX. 2013. Fast reduction of speckle noise in real ultrasound images. Signal Process. 93(4):684–694.
   Web of Science ®Google Scholar
• JensenJ. 2004. Simulation of advanced ultrasound systems using Field II. IEEE Int Symp Biomed Imaging.1:636–639.
   Google Scholar
• JinF, FieguthP, WingerL, JerniganE. 2003. Adaptive Wiener filtering of noisy images and image sequences. Int Conf Image Process. 3:349–352.
   Google Scholar
• KhareA, KhareM, JeongY, KimH, JeonM. 2010. Despeckling of medical ultrasound images using Daubechies complex wavelet transform. Signal Process. 90(2):428–439.
   Web of Science ®Google Scholar
• KrissianK, WestinC, KikinisR, VosburghK. 2007. Oriented speckle reducing anisotropic diffusion. IEEE Trans Image Process. 16(5):1412–1424.
   PubMed Web of Science ®Google Scholar
• KuanD, SawchukA, StrandT, ChavelP. 1985. Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Trans Pattern Anal Mach Intell. 7(2):165–177.
   PubMed Web of Science ®Google Scholar
• LeeJ. 1980. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern Anal Mach Intell. 2(2):165–168.
   PubMed Web of Science ®Google Scholar
• LoizouC, PattichisC. 2008. Despeckle filtering algorithms and software for ultrasound imaging. In: Synthesis lectures on algorithms and software for engineering. San Rafael (CA): Morgan & Claypool.
   Google Scholar
• MateoJL, Fernández-CaballeroAF. 2009. Finding out general tendencies in speckle noise reduction in ultrasound images. Exp Syst Appl. 36(4):7786–7797.
   Web of Science ®Google Scholar
• OrtizS, ChiuT, FoxM. 2012. Ultrasound image enhancement: A review. Biomed Signal Process Control. 7(5):419–428.
   Web of Science ®Google Scholar
• PeronaP, MalikJ. 1990. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell. 12(7):629–639.
   Web of Science ®Google Scholar
• PrattWK. 2007. Digital image processing. 4th ed.Hoboken (NJ): John Wiley & Sons.
   Google Scholar
• ThakurA, AnandRS. 2005. Image quality based comparative evaluation of wavelet filters in ultrasound speckle reduction. Digital Signal Process. 15(5):455–465.
   Web of Science ®Google Scholar
• TomasiC, ManduchiR. 1998. Bilateral filtering for gray and color images. In: 6th International Conference on Computer Vision; January; Bombay, India. p. 839–846.
   Google Scholar
• WagnerR, SmithS, SandrikJ, LopezH. 1983. Statistics of speckle in ultrasound B-scans. IEEE Trans Son Ultrason. 30(3):156–163.
   Web of Science ®Google Scholar
• WangZ, BovikAC. 2002. A universal image quality index. IEEE Signal Process Lett.9(3):81–84.
   Web of Science ®Google Scholar
• WangZ, BovikAC, SheikhHR, SimoncelliEP. 2004. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process.13(4):600–612.
   PubMed Web of Science ®Google Scholar
• WangZ, LiQ. 2011. Information content weighting for perceptual image quality assessment. IEEE Trans Image Process. 20(5):1185–1198.
   PubMed Web of Science ®Google Scholar
• WeickertJ. 1999. Coherence-enhancing diffusion filtering. Int J Comput Vis. 31(2–3):111–127.
   Web of Science ®Google Scholar
• YuY, ActonST. 2002. Speckle reducing anisotropic diffusion. IEEE Trans Image Process. 11(11):1260–1270.
   PubMed Web of Science ®Google Scholar
• YuJ, TanJ, WangY. 2010. Ultrasound speckle reduction by a Susan-controlled anisotropic diffusion method. Pattern Recogn. 43(9):3083–3092.
   Web of Science ®Google Scholar
• ZhangD, BaoP, WuX. 2005. Multiscale LMMSE-based image denoising with optimal wavelet selection. IEEE Trans Circuits Syst Video Technol.15(4):469–481.
   Web of Science ®Google Scholar