Ultrasonic image speckle noise removal method
A speckle noise and ultrasound image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to transfer denoising methods, achieve the effect of suppressing adverse effects and reducing time complexity
Active Publication Date: 2018-05-11
SOUTHWEAT UNIV OF SCI & TECH
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However, the speckle noise is different from the Gaussian noise considered in the usual image denoising problem. From the morphological point of view, it presents the effect of granular or serpentine spots. From the point of view of noise statistical characteristics, its noise generation model is different from additive Gaussian. Therefore, it is impossible to directly transfer the existing denoising method to the elimination of speckle noise, but it is necessary to fully consider the characteristics of speckle noise in the denoising model, improve the existing model, and give full play to the existing denoising technology The effect on speckle noise removal
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[0048] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.
[0049] Traditionally, speckle noise is regarded as a multiplicative signal model that obeys Rayleigh distribution. However, due to the complexity of the imaging mechanism, this model is not suitable for modeling real speckle noise. In recent years, some scholars have proposed a more suitable speckle noise model, as follows:
[0050] z(i)=u(i)+u γ (i)n(i).(1)
[0051] In the above formula, z is the image with speckle noise obtained by the ultrasound instrument, u is the clean image we expect to recover, n is the Gaussian noise with zero mean and standard deviation σ distribution, i is the pixel in the image space Ω The coordinate position of , γ is a parameter related to the ultrasonic instrument, usually γ=0.5. It can be seen from equation (1...
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The invention discloses an ultrasonic image speckle noise removal method. In a first iteration, a noise image is used as the input of a model and a rough despeckled image is obtained after filtering by a Bayesian non-local average filter model; in a second iteration, the obtained despeckled image is used as the input to the filter model to obtain a better despeckled image; and the iterative process is repeated until the number of iterations reaches a preset value. Through a benign iterative filtering process, a better despeckled image is finally output. The method of the invention has the advantage of suppressing adverse effects of speckle noise on clinical diagnosis or subsequent image processing. By combining statistical characteristics of the speckle noise, a conditional probability density function value in the Bayesian non-local average filter model is deduced, and a good despeckled image is output through the benign iterative filtering process. In order to reduce the time complexity of the algorithm, the three means of block filtering, pre-selection of blocks, and control over iteration times are used to make the method practical.
Description
technical field [0001] The invention relates to the technical field of ultrasonic image processing, in particular to a method for removing speckle noise in ultrasonic images. Background technique [0002] Ultrasound imaging technology is a convenient and fast imaging technology, which is widely used in the physical examination of the human body, especially the liver, gallbladder, pancreas, abdomen, breast and other parts. Compared with CT imaging technology, ultrasound imaging is much safer and avoids radiation damage that may be caused by exposure of the human body to X-rays; An important imaging modality for round disease screening. However, the images acquired by current ultrasound instruments are inevitably disturbed by speckle noise, which is caused by the coherent characteristics of ultrasound system imaging. The existence of speckle noise reduces the resolution and contrast of the image, reduces the quality of the image, and masks some detailed information, which is...
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IPC IPC(8): G06T5/00G06T5/10G06T5/50
CPCG06T5/10G06T5/50G06T2207/10081G06T2207/10088G06T2207/20221G06T5/70
Inventor周颖玥臧红彬方宏道
OwnerSOUTHWEAT UNIV OF SCI & TECH