Güngör, Murat AlparslanKaragöz, İrfan2019-05-102019-05-102015Güngör, M. A., Karagöz, İ. (2015). The homogeneity map method for speckle reduction in diagnostic ultrasound images. Measurement, 68, 100-110.0263-2241https://doi.org/10.1016/j.measurement.2015.02.047https://hdl.handle.net/11491/787This paper proposes a new method to reduce speckle noise in diagnostic ultrasound images by improving the speckle reduction capacity of an edge-sensitive filter. A homogeneity map is generated according to the local statistics of the window formed for each image pixel. The homogeneity map method uses the advantageous properties of a filter with a better smoothing capability than the edge-sensitive filter to increase the image quality of the edge-sensitive filter. We conducted our study using a cyst image simulated by the Field II program, a kidney image, and a real ultrasound image to which we applied two popular filters: SRAD and OBNLM. The results show that our proposed method has better denoising performance than the edge-sensitive filter, without any loss of edges. © 2015 Elsevier Ltd.eninfo:eu-repo/semantics/closedAccessDiagnostic UltrasoundHomogeneity Map MethodImage EnhancementSpeckle NoiseThe homogeneity map method for speckle reduction in diagnostic ultrasound imagesArticle6810011010.1016/j.measurement.2015.02.047N/AQ1