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Accurate and fast estimation of noise levels from medical images has numerous applications in medical image processing, including image enhancement, image segmentation and feature extraction. In this paper, a block-based noise level estimation algorithm in SVD domain is proposed. The proposed algorithm employs the non-overlapping block image segmentation to estimate homogenous image regions. Each...
The paper deals with the identification of the significance level for testing the time-frequency transform of the data. The usual procedure of time-frequency significance testing is based on the knowledge of background spectrum. Very often, we have certain expectations about the character the background noise (White noise, Red noise, etc.). Our paper deals with the case when the character of the noise...
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