A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Aggressive region growing for speckle reduction in ultrasound images
Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Ultrasound speckle reduction via super resolution and nonlinear diffusion
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering
IEEE Transactions on Image Processing
Median Filtering in Constant Time
IEEE Transactions on Image Processing
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Ultrasound images show a granular pattern of noise known as speckle which diminishes their quality and results in difficulties in diagnosis. This paper presents an adaptive fast bilateral filter (AFBF) to reduce the speckle noise. The presented filter is derived from a conventional bilateral filter and is adaptively adjusted by the detection of speckle statistics. The criterion of speckle region is defined from a similarity value obtained from local characteristic matching between the processing window and a reference speckle area. The presented filter can reduce the speckle noise and, at the same time, maintain the tissue structure. Ultrasound phantom testing and in vivo imaging show that the proposed method can improve the quality of an ultrasound image in terms of tissue SNR, CNR and FOM values.