Abstract
Medical imaging helps in acquiring structure of internal organs for diagnosing and analysis of the diseases. There is wide variety of medical image acquiring technologies. Despite the advancements in medical image acquiring technologies, the possibility of the presence of noise in the image is inevitable. Image denoising plays crucial role in the removal of such noise. This paper gives a clear insight into removal of noises present in X-ray images using discrete wavelet transformation with thresholding. The image quality assessment metrics PSNR and SNR are used to ascertain the performance of the denoising techniques.
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Rajeswari, P., Thyagharajan, K.K., Prabhu, V.S., Shree Devi, G. (2022). Denoising X-Ray Image Using Discrete Wavelet Transform and Thresholding. In: Sivasubramanian, A., Shastry, P.N., Hong, P.C. (eds) Futuristic Communication and Network Technologies. VICFCNT 2020. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_19
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DOI: https://doi.org/10.1007/978-981-16-4625-6_19
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