Abstract: An ultrasound imaging method and system. The method comprises: for each of a plurality of steer angles, including a reference steer angle, transmitting acoustic energy to a target region at the particular steer angle, receiving acoustic reflections, and converting the acoustic reflections to an image, with the image being associated with the particular steer angle; computing motion information based on the image associated with the reference steer angle; and generating a compounded ultrasound image based on the image associated with each of the plurality of steer angles and based on the motion information.

Abstract: A method for color restoration in images includes accessing an image of an object and processing the image based on an image processing operation to provide a processed image, where the image processing affects color of the object. The method further includes determining color adjustment parameters using a trained neural network, wherein an input to the trained neural network is based on the image and the processed image, restoring color in the processed image based on the color adjustment parameters to produce a color-restored image, and displaying the color-restored image on a display device.

Abstract: A method for smoke reduction in images includes accessing an RGB image of an object obscured by smoke, determining a dark channel matrix of the RGB image, estimating an atmospheric light matrix for the RGB image based on the dark channel, determining a transmission map based on to the atmospheric light matrix and the dark channel matrix, de-hazing the RGB image based on the transmission map to reduce the smoke in the RGB image, and displaying the de-hazed RGB image on a display device. The RGB image includes a plurality of pixels. The dark channel matrix includes, for each pixel of the plurality of pixels, a minimum color component intensity for a respective pixel area centered at the respective pixel. The atmospheric light matrix includes an atmospheric light component value for each of the plurality of pixels.

Abstract: Systems and methods for haze reduction in images are disclosed. An exemplary method for haze reduction includes accessing an image of an object obscured by haze where the image has an original resolution, downscaling the image to provide a downscaled image having a lower resolution than the original resolution, processing the downscaled image to generate dehazing parameters corresponding to the lower resolution, converting the dehazing parameters corresponding to the lower resolution to second dehazing parameters corresponding to the original resolution, and dehazing the image based on the second dehazing parameters corresponding to the original resolution.

Abstract: An ultrasound imaging method and system. The method comprises: for each of a plurality of steer angles, including a reference steer angle, transmitting acoustic energy to a target region at the particular steer angle, receiving acoustic reflections, and converting the acoustic reflections to an image, with the image being associated with the particular steer angle; computing motion information based on the image associated with the reference steer angle; and generating a compounded ultrasound image based on the image associated with each of the plurality of steer angles and based on the motion information.

Abstract: An ultrasound imaging system includes a transducer array, an ultrasound frontend, and a processing apparatus. The transducer array has a plurality of transducer elements, each of the plurality of transducer elements configured to transmit acoustic energy to a region of interest and receive reflected acoustic energy. The ultrasound frontend digitally samples the reflected acoustic in energy to genera the radio frequency (RF) data. The processing apparatus includes a central processing unit (CPU), a first in/first out (FIFO) buffer, and a graphical processing unit (GPU). The CPU receives the RF data including RF frames and the FIFO buffer includes a plurality of memory blocks for storing the RF frames, wherein a size of each memory block is equal to the size of a single RF frame. The GPU reads the RF frames from the plurality of memory blocks of the FIFO buffer and reconstructs an image.