19 February 2008 A speckle reduction and image enhancement anisotropic diffusion method for underwater ultrasonic imaging based on wavelet technology
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Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 662511 (2008) https://doi.org/10.1117/12.791024
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
Ultrasonic inherent characteristic and underwater environment make underwater ultrasonic image have speckle noise, and image contrast is low. So need a method to reduce speckle noise and enhance image contrast at the same time. In certain applications, however, the removal of speckle and image enhancement may be two contradictory problem each other, so we difficult to gain an ideal image processing result. For this reason, considerations in characteristic of the underwater ultrasonic image, this paper provides a new speckle reduction and image enhancement anisotropic diffusion method based on wavelet technology. An anisotropic diffusion model has been established based on wavelet transform. We analyze the characteristic of the model and discuss the model's mechanism of action for removing speckle and enhance image edge of the underwater ultrasonic image. A compare experiment for real underwater ultrasonic image has been done using the method and other traditional methods. The experimental result indicates that the method proposed have strong speckle reduction and enhancement image ability. The purpose of removing speckle noise and enhancing edge at same time has been reached.
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Yueqin Li, Yueqin Li, Ping Li, Ping Li, Huimin Chen, Huimin Chen, Xiaopeng Yan, Xiaopeng Yan, } "A speckle reduction and image enhancement anisotropic diffusion method for underwater ultrasonic imaging based on wavelet technology", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 662511 (19 February 2008); doi: 10.1117/12.791024; https://doi.org/10.1117/12.791024
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