Abstract
Ultrasound images suffer from poor bone and air penetration, lighting conditions, light scattering, bending, absorption, and reflection. The blur and noise present in the image may be removed by suitable denoising algorithms, so that the preprocessed image will provide better results in further processing. Various denoising algorithms are analyzed, and the results are compared with denoising performance evaluation metrics like PSNR, Mean Square Error, Structural Similarity, and Correlation.
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The authors thankfully acknowledges the financial support provided by The Institution of Engineers (India) for carrying out Research & Development work in this subject.
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Latha, S., Samiappan, D. (2019). From Nonlinear Digital Filters to Shearlet Transform: A Comparative Evaluation of Denoising Filters Applied on Ultrasound Images. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_69
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DOI: https://doi.org/10.1007/978-981-13-0617-4_69
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