3668 results about "High resolution image" patented technology

Controls for an optical scanner, such as a single fiber scanning endoscope (SFSE) that includes a resonating optical fiber and a single photodetector to produce large field of view, high-resolution images. A nonlinear control scheme with feedback linearization is employed in one type of control to accurately produce a desired scan. Open loop and closed loops controllers are applied to the nonlinear optical scanner of the SFSE. A closed loop control (no model) uses either phase locked loop and PID controllers, or a dual-phase lock-in amplifier and two PIDs for each axis controlled. Other forms of the control that employ a model use a frequency space tracking control, an error space tracking control, feedback linearizing controls, an adaptive control, and a sliding mode control.

Array cameras in accordance with embodiments of the invention perform super resolution processing using images of a scene that contain aliasing. In several embodiments, the depth of pixels is determined by fusing portions of a higher resolution image at a number of hypothesized depths and determining the depth at which the portion of the higher resolution image best matches the scene captured in the lower resolution images used to fuse the higher resolution image.

A method and system for performing surveillance includes receiving location information for a detected object via a first sensor and slewing a second sensor to the detected object in accordance with the location information provided by the first sensor. In one embodiment, the first sensor detects the presence of the object (which may or may not be moving), and the second sensor provides more refined or specific information about the detected object, such as a higher-resolution image of the detected object.

A variety of optical arrangements and methods of modifying or enhancing the optical characteristics and functionality of these optical arrangements are provided. The optical arrangements being specifically designed to operate with camera arrays that incorporate an imaging device that is formed of a plurality of imagers that each include a plurality of pixels. The plurality of imagers include a first imager having a first imaging characteristics and a second imager having a second imaging characteristics. The images generated by the plurality of imagers are processed to obtain an enhanced image compared to images captured by the imagers. In many optical arrangements the MTF characteristics of the optics allow for contrast at spatial frequencies that are at least as great as the desired resolution of the high resolution images synthesized by the array camera, and significantly greater than the Nyquist frequency of the pixel pitch of the pixels on the focal plane, which in some cases may be 1.5, 2 or 3 times the Nyquist frequency.

The invention discloses a human face super-resolution reconstruction method based on a generative adversarial network and sub-pixel convolution, and the method comprises the steps: A, carrying out the preprocessing through a normally used public human face data set, and making a low-resolution human face image and a corresponding high-resolution human face image training set; B, constructing the generative adversarial network for training, adding a sub-pixel convolution to the generative adversarial network to achieve the generation of a super-resolution image and introduce a weighted type loss function comprising feature loss; C, sequentially inputting a training set obtained at step A into a generative adversarial network model for modeling training, adjusting the parameters, and achieving the convergence; D, carrying out the preprocessing of a to-be-processed low-resolution human face image, inputting the image into the generative adversarial network model, and obtaining a high-resolution image after super-resolution reconstruction. The method can achieve the generation of a corresponding high-resolution image which is clearer in human face contour, is more specific in detail and is invariable in features. The method improves the human face recognition accuracy, and is better in human face super-resolution reconstruction effect.

The invention provides imaging apparatus and methods useful for obtaining a high resolution image of a sample at rapid scan rates. A rectangular detector array having a horizontal dimension that is longer than the vertical dimension can be used along with imaging optics positioned to direct a rectangular image of a portion of a sample to the rectangular detector array. A scanning device can be configured to scan the sample in a scan-axis dimension, wherein the vertical dimension for the rectangular detector array and the shorter of the two rectangular dimensions for the image are in the scan-axis dimension, and wherein the vertical dimension for the rectangular detector array is short enough to achieve confocality in a single axis.

A method and apparatus is provided for decoding an encoded baseline video stream and an enhancement stream. The baseline video stream is decoded, upscaled and enhanced by applying adaptive filters specified by the enhancement stream. Baseline upscaled images are then coded to motion compensate enhanced high resolution images using previously decoded enhanced images, thus recycling these enhanced images. The enhancement stream provides the best predictor method for the decoder to combine blocks from previous enhanced images and upscaled images to produce a motion compensated enhanced image. Likewise, forward and backward motion compensated images are blended according to feature classification and filter extraction methods provided by the enhancement stream to produce a bidirectionally predicted frame. Lastly, the decoder applies residual data from the enhancement stream to produce a completed enhanced image.

An object distance deriving device comprises: a compound-eye imaging device having imaging units with optical lenses randomly arranged for the respective imaging units; and a distance calculation unit to calculate an object distance using images captured by the compound-eye imaging device. The distance calculation unit: sets temporary distances z (S1); calculates an imaging process matrix [Hz] according to a temporary distance z (S2); estimates a high-resolution image by super-resolution processing using the imaging process matrix [Hz] (S3); uses the estimated high-resolution image to calculate an evaluation value distribution E for evaluating the temporary distance z (S4); repeats steps S2 to S4 for all temporary distances z (S5); and determines, as an object distance, one temporary distance z giving a minimum evaluation value in the evaluation value distributions E. This makes it possible to accurately derive the object distance even if the baseline length of the compound-eye imaging device is limited.

Objects of interest are detected and identified using multiple cameras having varying resolution and imaging parameters. An object is first located using a low resolution camera. A second camera (or lens) is then directed at the object's location using a steerable mirror assembly to capture a high-resolution image at a location where the object is thought to be based on image acquired by the wide-angle camera. Various image processing algorithms may be applied to confirm the presence of the object in the telephoto image. If an object is detected and the image is of sufficiently high quality, detailed facial, alpha-numeric, or other pattern recognition techniques may be applied to the image.

A radar system having orthogonal antenna apertures is disclosed. The invention further relates to an antenna system wherein the orthogonal apertures comprise at least one transmit aperture and at least one receive aperture. The cross-product of the transmit and receive apertures provides a narrow spot beam and resulting high resolution image. An embodiment of the invention discloses orthogonal linear arrays, comprising at least one electronically scanned transmit linear array and at least one electronically scanned receive linear array. The design of this orthogonal linear array system produces comparable performance, clutter and sidelobe structure at a fraction of the cost of conventional 2D filled array antenna systems.

Systems and methods for extended color processing on Pelican array cameras in accordance with embodiments of the invention are disclosed. In one embodiment, a method of generating a high resolution image includes obtaining input images, where a first set of images includes information in a first band of visible wavelengths and a second set of images includes information in a second band of visible wavelengths and non-visible wavelengths, determining an initial estimate by combining the first set of images into a first fused image, combining the second set of images into a second fused image, spatially registering the fused images, denoising the fused images using bilateral filters, normalizing the second fused image in the photometric reference space of the first fused image, combining the fused images, determining a high resolution image that when mapped through a forward imaging transformation matches the input images within at least one predetermined criterion.

There is provided herein a system for providing a stabilized video image with continuously scrollable and automatically controllable Line-Of-Site (LOS) and adjustable Field-Of-View (FOV) for use in an Unmanned Aerial Vehicle (UAV), with no moving parts. The system comprising a plurality of fixed oriented sensors disposed in one or more of orientations, a computing unit comprising processor adapted to define a position of a window of interest (WOI) within one or more field-of-views of said plurality of sensors, read pixels data from said WOI, compensate, in real time, for changes in a target position relative to the UAV and for the UAV attitude by continuously scrolling the position of said WOI and provide a continuous high frame rate video image based on the pixels data from said WOI. The system may also provide retrievable high resolution images of the scene, to be stored in internal memory for later retrieve or transmitted to a Ground Control Station in parallel to the real-time video.

A technique of reconstructing a high resolution image from at least one image sequence of temporally related high and low resolution image frames wherein each of said high resolution image frames includes a low spatial frequency component and a high spatial frequency component is described. The high-resolution image reconstruction technique uses spatial interpolation to generate a low spatial frequency component from a low-resolution image frame of the image sequence. The technique is adapted to generate a high spatial frequency component from at least one high resolution image frame of the image sequence which is closely related to the low resolution image frame, and to remap the high spatial frequency component to a motion-compensated high spatial frequency component estimate of the low resolution image frame. The motion-compensated high spatial frequency component estimate is added to the generated low spatial frequency component to form a reconstructed high-resolution image of the low-resolution image frame.

Systems, devices, and methods of Fourier ptychographic imaging by computationally reconstructing a high-resolution image by iteratively updating overlapping regions of variably-illuminated, low-resolution intensity images in Fourier space.

An optical code reading system having an auto-exposure system for use with a variable resolution imaging sensor in which very low resolution images are used to determine exposure parameters is presented. The very low resolution images can be transferred much faster than high resolution images which results in a very fast auto-exposure system. The optical code reading system further includes an optical zoom system for zooming in and out of a target without the use of any moveable components. The optical zoom system makes use of a binning and/or subsampling feature of the imaging sensor for zooming in and out of the target. High-speed decoding methodologies are also presented for the optical code reading system. One decoding methodology utilizes low resolution images for performing high-speed decoding. Other methodologies utilize low resolution images and higher resolution images, if the optical code imaged by the low resolution images is not decoded successfully.

Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.

The invention relates to spatially scalable encoding and decoding processes using a method for deriving coding information. More particularly, it relates to a method for deriving coding information used to encode high resolution images from coding information used to encode low resolution images when the ratio between high resolution and low resolution images dimensions is a multiple of 3/2. The method mainly comprises the following steps:

• • deriving a block coding mode for each 8×8 blocks of a prediction macroblock MBi_pred from the macroblock coding mode of the associated base layer macroblocks on the basis of the macroblock class of MBi and an the basis of the position of the 8×8 block within MBi_pred;
  • deriving a macroblock coding mode for MBi_pred from the coding modes of the associated base layer macroblocks; and
  • deriving motion information for each macroblock MBi_pred from the motion information of the associated base layer macroblocks.

A system for automatically acquiring high-resolution images by steering a pan-tilt-zoom camera at targets detected in a fixed camera view is provided. The system uses automatic or manual calibration between multiple cameras. Using automatic calibration, the homography between the cameras in a home position is estimated together with the effects of pan and tilt controls and the expected height of a person in the image. These calibrations are chained together to steer a slave camera. The manual calibration scheme steers a camera to the desired region of interest and calculates the pan, tile and zoom parameters accordingly.