Abstract: At least one embodiment relates to an autofocus method for determining a focal plane for at least one object. The method includes reconstructing a holographic image of the at least one object such as to provide a reconstructed image at a plurality of different focal depths. The reconstructed image includes a real component and an imaginary component. The method also include performing a first edge detection on the real component for at least two depths of the plurality of different focal depths and a second edge detection on the imaginary component for the at least two depths. Further, the method includes obtaining a first measure of clarity for each of the at least two depths based on a first measure of statistical dispersion with respect to the first edge detection and a second measure of clarity.

Abstract: The present disclosure relates to an imaging system and a method of generating a depth map. The method comprises generating a first candidate depth map in response to a first pair of images associated with a first textured pattern, generating a second candidate depth map in response to a second pair of images associated with a second textured pattern different from the first textured pattern, determining one of pixels in a same location of the first and second candidate depth maps that is more reliable than the other; and generating a depth map based on the one pixel.

Abstract: At least one embodiment relates to an autofocus method for determining a focal plane for at least one object. The method includes reconstructing a holographic image of the at least one object such as to provide a reconstructed image at a plurality of different focal depths. The reconstructed image includes a real component and an imaginary component. The method also include performing a first edge detection on the real component for at least two depths of the plurality of different focal depths and a second edge detection on the imaginary component for the at least two depths. Further, the method includes obtaining a first measure of clarity for each of the at least two depths based on a first measure of statistical dispersion with respect to the first edge detection and a second measure of clarity.

Abstract: A imaging system and method is disclosed. In one aspect, the system includes a first edge-detecting module configured to detect edge coordinates in the first image, a first disparity-estimating module configured to obtain a first estimated disparity map of the first image relative to the second image, and a first edge-refining module configured to refine edge coordinates in the first estimated disparity map using the edge coordinates in the first image to obtain a first refined disparity map. The imaging system and method improve the quality of a disparity map and control the complexity of stereo-matching.

Abstract: An imaging system and method are disclosed. In one aspect, the system includes an edge-detecting module detecting edge coordinates in a first image; first and second disparity-estimating modules respectively configured to obtain a first and second estimated disparity map, a cross-checking module configured to cross check the first estimated disparity map using the second estimated disparity map to identify occlusion pixels in the first estimated disparity map, an occlusion-refining module configured to refine the occlusion pixels by identifying at least a pixel under refinement on the first estimated disparity map as occluded based on the number of occlusion pixels in a refining base region, and a hole-filling module configured to fill the refined set of occlusion pixels. The imaging system improves the quality of a disparity map and controls the complexity of stereo-matching.

Abstract: A imaging system and method is disclosed. In one aspect, the system includes a first edge-detecting module configured to detect edge coordinates in the first image, a first disparity-estimating module configured to obtain a first estimated disparity map of the first image relative to the second image, and a first edge-refining module configured to refine edge coordinates in the first estimated disparity map using the edge coordinates in the first image to obtain a first refined disparity map. The imaging system and method improve the quality of a disparity map and control the complexity of stereo-matching.

Abstract: An imaging system and method are disclosed. In one aspect, the system includes an edge-detecting module detecting edge coordinates in a first image; first and second disparity-estimating modules respectively configured to obtain a first and second estimated disparity map, a cross-checking module configured to cross check the first estimated disparity map using the second estimated disparity map to identify occlusion pixels in the first estimated disparity map, an occlusion-refining module configured to refine the occlusion pixels by identifying at least a pixel under refinement on the first estimated disparity map as occluded based on the number of occlusion pixels in a refining base region, and a hole-filling module configured to fill the refined set of occlusion pixels. The imaging system improves the quality of a disparity map and controls the complexity of stereo-matching.