Abstract: An image processing device acquires at least two first images and down-samples the at least two first images to obtain at least two second images, where a first resolution of the at least two first images is higher than a second resolution of the at least two second images. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: An image processing device acquires at least two first images and at least two second images, where a resolution of the at least two first images is a first resolution, a resolution of the at least two second images is a second resolution, and the second resolution is lower than the first resolution. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: A disparity map generation method, includes: acquiring a first left-view and a first right-view; generating a first initial disparity map according to the first left-view and the first right-view, by using an SGM acceleration algorithm; generating a second left-view and a second right-view according to the first left-view and the first right-view, that the second left-view and the second right-view are respectively identical to views obtained by rotating the first left-view and the first right-view by 180 degrees, or the second left-view and the second right-view are respectively identical to views obtained by rotating the first right-view and the first left-view by 180 degrees; generating a second initial disparity map according to the second left-view and the second right-view, by using the SGM acceleration algorithm; and determining a target disparity map of the first left-view and the first right-view according to the first initial disparity map and the second initial disparity map.

Abstract: An image processing device acquires at least two first images and at least two second images, where a resolution of the at least two first images is a first resolution, a resolution of the at least two second images is a second resolution, and the second resolution is lower than the first resolution. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: Speckle detection method, system, storage medium and computer program product are provided. The speckle detection method includes acquiring a thumbnail image of a to-be-processed image; performing a speckle detection on the thumbnail image to obtain speckled pixels of the thumbnail image; and determining, according to the speckled pixels of the thumbnail image, speckled pixels of the to-be-processed image.