2results about How to "Suppress artifacts" patented technology

This invention discloses a high frame rate ultrasound plane wave tensor completion method based on T-SVD and angle regularization, belonging to the field of ultrasound imaging technology. The method includes: acquiring data; encoding selected and unselected angles into TCP codes; transmitting the encoded image along a specified angle; constructing a mask matrix Ω to form an incomplete tensor X containing partially known data; zero-padding the acquired RF data to expand it to the full size; reconstructing the data corresponding to the missing angles from the incomplete tensor; iteratively solving the problem using the alternating direction multiplier method; determining whether the convergence error convergence criterion has been met; and, after iteration, completing the tensor X to obtain the full angles. Composite imaging is then performed based on the obtained complete RF data. This invention solves the problems of slow convergence speed, high computational complexity, and unsmooth completion results in existing tensor completion algorithms. Under conditions of extremely limited angle sampling, this invention achieves a balance between high frame rate and high quality in ultrasound imaging through efficient low-rank tensor completion.

The application provides an infrared image enhancement method and device based on histogram matching and curvelet transform. The method comprises: acquiring an infrared image to be enhanced and a reference image; calculating the gray mean value and the gray standard deviation of the infrared image and the reference image respectively; calculating a correction coefficient and an average correction amount based on the gray mean value and the gray standard deviation; generating a histogram matching enhanced image of the infrared image based on the correction coefficient and the average correction amount; respectively performing curvelet transform decomposition on the histogram matching enhanced image and the infrared image to obtain corresponding multi-scale and multi-direction sub-band coefficients, and fusing corresponding sub-band coefficients at the same scale and the same direction to obtain fused sub-band coefficients; and performing curvelet inverse transform on the fused sub-band coefficients to obtain a fused enhanced image. Through the cooperation of the global gray correction of histogram matching and the local detail fusion of curvelet transform, the application realizes the synchronous improvement of the contrast, the definition and the detail information of the infrared image.