An imaging system includes a light source, an image sensor and a processing unit. The image sensor alternatively captures a first bright image, a first dark image, a second bright image and a second dark image, wherein the first bright image is captured with a first exposure time corresponding to activation of the light source within a first time interval, the first dark image is captured with the first exposure time corresponding to deactivation of the light source within the first time interval, the second bright image is captured with a second exposure time corresponding to activation of the light source within a second time interval, and the second dark image is captured with the second exposure time corresponding to deactivation of the light source within the second time interval, wherein the second exposure time is longer than the first exposure time. The processing unit adjusts the second exposure time according to an object image size in the second dark image, and controls the image sensor to stop capturing the first bright and dark images with the first exposure time when no object image is contained in the second dark image.

Methods and/or apparatus provide for obtaining intrinsics and extrinsics of a plurality of cameras arranged to capture a scene and based thereon, generate a voxel representation of the scene; obtaining extrinsics and intrinsics of a virtual camera; mapping the extrinsics and intrinsics of the virtual camera to at least one voxel surface defined in a data structure and to identify at least one camera pair suitable for obtaining depth data for that voxel surface based on the corresponding camera pair identifier; and receiving an input from the mapping unit, and in response obtaining images captured by the cameras in the at least one camera pair identified as being suitable for reconstructing the scene from the viewpoint of the virtual camera, and to generate an image of the scene from the viewpoint of the virtual camera based on the obtained images.

The invention relates to a method for online quality control of decorative prints on substrate materials, including similarity comparisons of actual and target images and adjusting decorative prints if deviations of color values are detected. The method may include the steps of: a) producing a hyperspectral digital image of a print decoration; b) calibrating the print decoration via a hyperspectral digital image; c) producing and storing a digital target image of the print decoration; d) creating a first print decoration on a first substrate material; e) producing and storing a digital actual image of the printed decoration on the first substrate material; f) determining color deviations between the digital target image and the digital actual image via a computer program; and g) printing on at least one side of substrate materials so as to form a decorative layer. The invention also relates to a device for carrying out the method.

An information processing apparatus includes an interpolation target color difference pixel generator that generates, on the basis of a relationship between a luminance pixel at an interpolation target pixel position that is a pixel position at which a first color difference pixel does not exist and the luminance pixel at at least one neighboring pixel position of a plurality of pixel positions near the interpolation target pixel position in image data, an interpolation target color difference pixel corresponding to the first color difference pixel at the interpolation target pixel position, in which the image data is generated on the basis of three primary color pixels that can include a value greater than a predetermined white clip value, the image data having a number of the luminance pixels larger than a number of the first color difference pixels and a number of second color difference pixels.

A computer-implemented technique is described herein for interpolating input data that includes image and/or audio content. The technique identifies plural sizes associated with different respective phenomena exhibited by the input data. The technique then interpolates the input data in a pipeline that includes plural passes. The plural passes are controlled using plural respective parameter values. The plural respective parameter values, in turn, are selected based on the plural respective sizes, arranged from largest to smallest. In other implementations, the technique chooses pass-specific algorithmic changes to be applied by the interpolation algorithms used by the different passes. In other implementations, the technique chooses its configurations without regard to sizes of phenomena that may be exhibited in the input data. The technique is advantageous because it reduces the presence of artifacts in output data produced by the computer-implemented technique.

A system and method are provided for obtaining a pupil response profile for a subject. The method include: obtaining scan data as frames of a pupil response over time prior to, during and after exposure to a flash of a light source; locating a candidate pupil to be measured from the scan data; image processing the scan data to obtain a set of pupil candidate measurements to generate a graph of pupil measurements against time; filtering the graph to produce a final set of pupil measurements forming a pupil response profile. The method may also include: measuring profile parameters from the pupil response profile; and using the profile parameters to determine aspects of the pupil response.

Disclosed is an X-ray image processing apparatus including a data obtaining unit generating first to N-th images indicating an internal structure of an object and an image processing unit receiving the first to N-th images from the data obtaining unit, detecting a movement of the object, and generating a final image from the first to N-th images based on the movement of the object. The data obtaining unit actively controls an X-ray pulse irradiated based on the movement of the object.

The invention provides an ultrasound imaging apparatus capable of highly accurately extracting a blood flow in a fine blood vessel in a short time. N pieces of frame data is generated by receiving ultrasound waves reflected by a subject with a plurality of transducers. A correlation matrix is generated based on a vector in which data at a corresponding position of the frame data is arranged for N frames, and a singular value and a singular vector for each of N ranks are calculated. A first filter element is calculated based on a variance between data at a corresponding position zx among a plurality of blood flow component frame data obtained by multiplying a plurality of the frame data by singular vectors at a threshold rank k or more. The second filter element is calculated based on the tissue component frame data obtained by multiplying the frame data by a singular vector at a rank 1. The frame data is weighted by the first filter element and/or the second filter element to generate a clutter reducing image.

An apparatus includes at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to perform same area dividing on each of a plurality of images, and create a composite image from the plurality of images. A first area of the composite image is composited from corresponding areas in a first number of image among the plurality of images. A second area of the composite image is composited from corresponding areas in a second number of image among the plurality of images.

Devices, systems, and methods for stent detection and apposition are disclosed. Embodiments obtain a plurality of images of intravascular image data of a vessel wall and an endovascular device, generate a signal that represents the plurality of images, identify one or more images that correspond to the endovascular device based on the signal that represents the plurality of images, generate a representation of a three-dimensional (3D) shape of the endovascular device based on the one or more images, determine an apposition value of the endovascular device relative to the vessel wall using a representation of a 3D shape of a lumen segment that corresponds to the endovascular device, the apposition value based on a volume difference between the 3D shape of the lumen segment and the 3D shape of the endovascular device, and present information indicating the apposition value.