Abstract: Disclosed a method and a system for overlapping sliding window segmentation of an image based on an FPGA. According to the method, on-chip BRAMs storage resource cost of FPGA is determined; each on-chip BRAM in FPGA is used to cache the pixel data of each segmented sub-image in parallel; when the pixel data received by the BRAMs reaches a preset threshold or the last pixel of the segmented sub-image is written into the on-chip BRAMs, the data is written from the on-chip BRAMs to an off-chip DDR memory in a burst continuous writing mode; the repeated data generated by segmentation of horizontally overlapping sliding windows are written into the on-chip BRAMs corresponding to the current segmented sub-image and adjacent segmented sub-images thereof respectively in a synchronous and parallel manner.

Abstract: An image processing method includes obtaining a to-be-processed image, performing an image processing operation on the to-be-processed image by inputting the to-be-processed image into a corresponding image processing model to obtain a processed image, and obtaining an output image according to the processed image of the corresponding image processing model. The image processing operation includes at least one of color deviation removal processing or ghost effect removal processing. The image processing model corresponding to the color deviation removal processing is a first image processing model, and the image processing model corresponding to the ghost effect removal processing is a second image processing model.

Abstract: An image enhancement method is provided. The method includes obtaining an image, extracting high-frequency components of the image, calculating an average pixel value of pixels corresponding to the extracted high-frequency components, and performing enhancement on pixels in the image that have pixel values greater than or equal to the calculated average pixel value to obtain an enhanced image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also provided.

Abstract: Provided are methods and apparatus for tracking a head pose with online face template reconstruction. The method comprises the steps of retrieving a plurality of frames of images of the user; comparing each of the retrieved frames with a predetermined face template to determine one or more head poses that are monitored successfully and obtain head pose information of the determined one or more head poses; and reconstructing, during the step of comparing, the face template from the obtained head pose information; wherein the reconstructed face template is compared with subsequently retrieved images such that the head poses of the user are tracked in time.

Abstract: Provided are methods and apparatus for tracking a head pose with online face template reconstruction. The method comprises the steps of retrieving a plurality of frames of images of the user; comparing each of the retrieved frames with a predetermined face template to determine one or more head poses that are monitored successfully and obtain head pose information of the determined one or more head poses; and reconstructing, during the step of comparing, the face template from the obtained head pose information; wherein the reconstructed face template is compared with subsequently retrieved images such that the head poses of the user are tracked in time.

Abstract: Subject matter disclosed herein relates to foreground image extraction and image depth of video images.