Abstract: Systems and methods for improving magnetic resonance imaging relate to reconstructing multi-slice images based on sharing the strong structural similarities between adjacent image slices. In addition, a joint denoising method exploits these structural similarities. In part the reconstruction is based on use of a residual neural networks and denoising is achieved with a deep learning based strategy. The system and method have proved useful in both simulation and in vivo brain experiments, demonstrating significant noise reduction in all images and revealing more microstructural details in quantitative diffusion maps.

Abstract: A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification.

Abstract: A color correction method and device, and computer-readable storage medium thereof, the color correction method including: obtaining an image to be corrected and a color temperature of the image, the image being in a YUV color space; determining first and second adjacent quadrants in a UV plane associated with each pixel point in the image according to a position of the pixel point on the UV plane; and performing color correction on each pixel point using correction matrices respectively corresponding to the first and second adjacent quadrants and the image color temperature, each correction matrix being calculated in advance of the color corrections according to the chrominance value of a color patch in each of the first and second quadrants, the color temperature, and a standard value corresponding to the color patch.

Abstract: A method, apparatus, computer-readable storage medium, and terminal for calibrating automatic white balance is provided including: obtaining a first white point acquired by a device under calibration capturing a neutral color under a calibration light source, and obtaining a second white point acquired by a predetermined golden set capturing a neutral color under the calibration light source; if either or both a first difference value between a first red deviation value and a second red deviation value is greater than a first predetermined threshold value and a second difference value between a first blue deviation value and a second blue deviation value is greater than a second predetermined threshold value, performing one or more of adjusting the second red deviation value so that the first difference value becomes smaller and adjusting the second blue deviation value so that the second difference value becomes smaller; and calibrating the device under calibration by using one or more of the adjusted second

Abstract: A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification.

Abstract: A color correction method and device, and computer-readable storage medium thereof, the color correction method including: obtaining an image to be corrected and a color temperature of the image, the image being in a YUV color space; determining first and second adjacent quadrants in a UV plane associated with each pixel point in the image according to a position of the pixel point on the UV plane; and performing color correction on each pixel point using correction matrices respectively corresponding to the first and second adjacent quadrants and the image color temperature, each correction matrix being calculated in advance of the color corrections according to the chrominance value of a color patch in each of the first and second quadrants, the color temperature, and a standard value corresponding to the color patch.

Abstract: A method, apparatus, computer-readable storage medium, and terminal for calibrating automatic white balance is provided including: obtaining a first white point acquired by a device under calibration capturing a neutral color under a calibration light source, and obtaining a second white point acquired by a predetermined golden set capturing a neutral color under the calibration light source; if either or both a first difference value between a first red deviation value and a second red deviation value is greater than a first predetermined threshold value and a second difference value between a first blue deviation value and a second blue deviation value is greater than a second predetermined threshold value, performing one or more of adjusting the second red deviation value so that the first difference value becomes smaller and adjusting the second blue deviation value so that the second difference value becomes smaller; and calibrating the device under calibration by using one or more of the adjusted second