35results about How to "Reduce memory space requirements" patented technology

A method for correcting image artifacts is proposed. The artifacts occur as a result of an anti scatter grid connected rigidly to an x-ray detector in recording three-dimensional image datasets. Two-dimensional projection images of an object are recorded from different recording geometries for reconstruction the three-dimensional image dataset. A calibration image is recorded for each recording geometry. An average image from all recorded calibration images is established. Subtraction images are established by subtracting the average image from the corresponding calibration images. Noise is removed from the subtraction images. The subtraction images and the average image are stored. A correction image is established for each recording geometry by addition of the subtraction image assigned to the recording geometry and of the average image and is used for correcting the projection image.

A real-time preprocessing method and storage medium for video surveillance data, the method comprising: obtaining the minimum channel map, and calculating the downsampled dark primary color D down , after converting the video image into a grayscale image, sort in descending order according to the grayscale value of the pixels, select a certain proportion of high-brightness pixels, and use the average value as the global atmospheric light estimation A; for the downsampled dark primary color D down Perform filtering processing to enhance the local small value to obtain the optimized down-sampled dark primary color D filter ; to D filter Up-sampling to get the scattered light estimation of each position of the video, according to the preset fog imaging model, using the scattered light estimation S and the global atmospheric light estimation A to inversely solve the fog-free picture of the t-th frame. The present invention obtains the dark primary color of down-sampling, reduces the amount of calculation, improves the running time, and is filter Scattered light can be estimated by up-sampling in blocks, and fog-free images can be reversed by blocks, which reduces the demand for memory space and is more suitable for the situation of uneven equipment in the Internet of Things environment.