Abstract: In a method for testing an aperture of the image capturing device, a brightness value range of images is divided into a plurality of range intervals, and one of the range intervals is determined for testing the aperture. A brightness value of a current image captured by the image capturing device is calculated. A diameter of the aperture is controlled to increase or decrease to change the brightness value of the current image to be within the determined range interval, if the brightness value is not within the determined range interval. After the brightness of the current is changed to be within the determined range interval, if the brightness value of the current image has been changed during a predetermined time period, it is determined that the aperture does not work normally.

Abstract: The present invention provides a method of manufacturing a spacer for a liquid crystal display device that includes a step a) of forming a spacer body on a substrate body and a step b) forming a passivation film on the spacer body, a substrate for a liquid crystal display device having the spacer manufactured by the method, and a liquid crystal display device having the substrate for the liquid crystal display device.

Abstract: Disclosed herein is a camera calibration apparatus. The camera calibration apparatus includes an image reception unit and a camera calibration unit. The image reception unit receives images, in which a same background is captured, from respective cameras placed at locations which are different from each other. The camera calibration unit calculates an entire matrix using canonic topographies for all parallelograms located on respective surfaces which are different from each other within each of the images, and calculates infinite hymnographies between the cameras using the entire matrix at the same time.

Abstract: A method for calibrating a camera including (a) obtaining a two-dimensional (2D) homography that maps each of parallelograms projected onto two images taken by the camera into a rectangle, wherein the 2D homography is defined as a rectification homography and wherein new cameras that have virtual images are defined as rectified cameras and a new infinite homography is generated between the two rectified cameras, the virtual images being transformed from original images by the rectification homography; (b) obtaining an original infinite homography by using the correlations among the new infinite homography, the rectification homography and the original infinite homography; and (c) obtaining intrinsic camera parameters based on the correlation between the original infinite homography and the intrinsic camera parameters, thereby calibrating the camera.

Abstract: A method of calibrating, compressing and decompressing image signal values of an image sensor which has a plurality of light sensitive pixels arranged in rows and columns comprises the steps of: reading out the image signal values; compressing the image signal values; and decompressing the compressed image signal values, wherein the image signal values are calibrated while using calibration data sets which include a number of calibration values for each pixel.

Abstract: The invention discloses a camera recalibration system and the method thereof. The camera recalibration system includes a first camera, which is to be recalibrated, for capturing image; an image processing unit comprising a storage unit for storing a first image and a second image, the second image being captured by the first camera; and a computing unit for measuring camera motion from the first image to the second image and computing calibration information corresponding to the camera motion; and a display unit for presenting the calibration information.

Abstract: Described herein are methods that may improve yield of an image sensor. In one embodiment, a method that may improve yield of an image sensor includes generating output values of control logic associated with an array of light sensitive elements. The method further may include determining if the control logic has one or more faulty output values. The method further may include automatically correcting the one or more faulty output values. In another embodiment, a method that may improve yield of an image sensor includes providing light to an array of light sensitive elements. The method further may include generating an image based on the light sensitive elements and associated control logic. The method further may include disconnecting control lines from control logic that has one or more faulty output values based on viewing the image. The method further may include generating another image based on the control logic having no faulty output values.

Abstract: This invention provides a calibration method and a corresponding apparatus for optical imaging lens system with double optical paths. The apparatus for optical imaging lens system with double optical paths comprises a first optical subsystem, a second optical subsystem and a calibration module. The calibration module receives a first image data from the first optical subsystem and a second image data from the second optical subsystem. The calibration module calibrates the first image data according to at least one selected optical parameter of the second optical subsystem, and calibrates the second image data according to at least one selected optical parameter of the first optical subsystem. The selected optical parameters of the first optical subsystem and the second optical subsystem are different.

Abstract: A digital video camera performs a method to improve the image quality of captured images in a video image stream. The method includes capturing a first subset of images, outputting the images of the first subset of images as the video image stream, moving an image sensor and/or a lens of the digital video camera from a respective normal position to a respective test position before capturing an image of a second subset of images. The digital video camera captures a second subset of images interspersed with the first subset of images, compares image quality of the first subset of images with an image of the second subset of images, and determines if the image of the second subset of images exhibits improved image quality as compared with the image of the first subset of images. If so, an image quality improvement operation is initiated.

Abstract: Technologies that enable correcting for the non-linear relationship between scene irradiance and digital pixel intensity values of an image of the scene produced by a camera. Imaging noise is used as a signal from which a corrective function is derived. Noise distributions from the image are evaluated to determine the radiometric response function of the camera, from which an inverse response function is computed and used for calibration.

Abstract: Methods and systems for analyzing camera lenses and presenting information regarding camera lenses performance are described. An interactive user interface is provided over a network for display on a user terminal by a computer system. A user request is received at the computer system from the user terminal for lens data from a first lens. Lens data, including test data obtained via a first digital image captured using the first lens at the first focal length setting and the first aperture setting is accessed from memory and transmitted to interactive user interface. The interactive user interface is configured to display an identification of the first camera body, an identification of the first lens, the first focal length setting used to capture the image, and the first aperture setting used to capture the image. Using the lens test data, the interactive user interface generates and displays sharpness graph data.

Abstract: A “Camera Calibrator” provides various techniques for recovering intrinsic camera parameters and distortion characteristics by processing a set of one or more input images. These techniques are based on extracting “Transform Invariant Low-Rank Textures” (TILT) from input images using high-dimensional convex optimization tools for matrix rank minimization and sparse signal recovery. The Camera Calibrator provides a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera even with significant lens distortion, noise, errors, partial occlusions, illumination and viewpoint change, etc. Distortions caused by the camera can then be automatically corrected or removed from images. Calibration is achieved under a wide range of practical scenarios, including using multiple images of a known pattern, multiple images of an unknown pattern, single or multiple images of multiple patterns, etc.

Abstract: A standard used to test imaging systems is imaged by a digital camera which expresses the image of the standard as a plurality of pixels having associated intensities. A computer automatically finds the image of the standard in the image and quantitatively compares intensities of pixels of a subsequent image of the standard to the first image to discern changes indicative of malfunction. A set of images of the standard may be collected and compiled to develop standard data, such as average of median values, that can be used to test imaging apparatus. The standard may be provided with a plurality of types of imaging standards occupying sub-areas that produce a different photoresponse to a plurality of different light sources. A fluorescent standard may be included that has a plurality of different fluorescence levels.

Abstract: A device for color shading correction is provided. Local color matching is performed as follows. For each pixel of the image that is being color matched, the RGB value is treated as a one-by-three matrix, which is multiplied by a three-by-three matrix that is generated during factory calibration. The matrix product is a one-by-three matrix that is used as the RGB value for the pixel in the color matched image.

Abstract: The present invention calibrates interior orientation parameters (IOP) and exterior orientation parameters (EOP). With the calibrated IOPs and EOPs, a remotely controlled camera can quickly obtains corresponding IOPs and EOPs no matter on panning, tilting or zooming. Thus, the remotely controlled camera obtains accuracies on imaging and measuring and obtains wide applications.

Abstract: The invention relates to a method for estimating a defect in an image-capturing system (1), which produces, with regard to any first image (I) representing any scene (S), a variation in the field of a characteristic of the first image, having an order of magnitude that is statistically lower than a variation in the field of said characteristic added by the scene. The method comprises: calculating, in at least a first portion of the field of the first image, a measurement (?(I)) related to said characteristic of the first image; and obtaining, in at least one second portion of the field of the first image, an estimative magnitude (?) of said defect, depending on the calculated measurement and having a variation having the same order of magnitude as the variation in the field of said characteristic of the first image produced by said defect.

Abstract: An adjustment method of the present invention includes an evaluation step of evaluating an imaging performance of an optical image that is formed via an optical system, a classification step of classifying the imaging performance evaluated in the evaluation step, a restoration step of generating a restored image of the optical image based on a classification of the imaging performance, and an adjustment step of adjusting the optical system using an adjustment unit of the optical system based on the restored image.

Abstract: An integrated circuit comprises a semiconductor substrate and a color image sensor array on the substrate. The color image sensor array has a first configuration of color pixels for collecting color image data, and at least one crosstalk test pattern on the substrate proximate the color image sensor array. The crosstalk test pattern includes a plurality of color sensing pixels arranged for making color crosstalk measurements. The test pattern configuration is different from the first configuration.

Abstract: A method of calibrating a brightness value measured by a camera with an amount of light received by the camera includes creating a series of measurements, wherein for each measurement the amount of light received at an image plane in the camera is controlled to be a known ratio of two opposed irradiance values: a high irradiance value and a low irradiance value. Each ratio is correlated with the brightness value measured by the camera. A function is obtained describing the correlation.

Abstract: The present invention relates to calibration of camera parameters for converting a world coordinate system, which indicates a position in the real space, to a coordinate used in an image and vice versa. The apparatus according to the invention has a detection unit, which determines corresponding pixel pairs from the captured image and the model image and outputs corresponding data indicating determined pixel pairs, and a selection unit, which selects pixel pairs to be left in the corresponding data and removes data related to an unselected pixel pair from the corresponding data for generating selected corresponding data. The apparatus further has a calculation unit, which calculates camera parameters based on the selected corresponding data.

Abstract: A method of generating a color characterization model for an input imaging device includes capturing a target having plural patches using the input imaging device to produce plural digital values in a device-dependent color space, the plural digital values having corresponding target measurements in a color characterization set. The method further includes determining if any of the plural digital values are collinear with each other, and removing, in a case where it is determined that digital values are collinear with each other, at least one of the collinear digital values and corresponding target measurements from the color characterization data set. In addition, the method includes generating the color characterization model for the input imaging device based on the plural digital values and corresponding target measurements remaining in the color characterization set. An apparatus for generating a color characterization model for an input imaging device is also provided.

Abstract: An operator friendly camera testing module is described. The camera testing module includes at least a color shift evaluation unit and a color non-uniformity evaluation unit. The color shift evaluation unit providing a color shift metric and the color non-uniformity evaluation unit providing a color non-uniformity metric each used to characterize a digital camera.

Abstract: A method for eliminating chromatic aberration caused by an imaging environment and for testing stability of the imaging environment is disclosed, along with a chromatic aberration calibration device for use with the same method. The method serves to detect errors resulting from environmental factors and human factors and, by using a specific measurement distance and angle, eliminate chromatic aberration caused by such factors. Environmental factors include variations of the image capture device itself; the hue, lightness, and chroma of external light; and the distance and angle between the chromatic aberration calibration device and the image capture device. Human factors include operator-related variations, focusing variations, and hand tremor during measurement.

Abstract: A method of manufacturing a digital video camera is provided. The method comprises acquiring video images of colored light, and measuring a light intensity response of the video camera to the colored light. The method further comprises comparing the intensity of the measured response to a desired colored light intensity for determining a color intensity bias and storing the intensity bias for the colored light in the camera so that the bias can be applied when the camera is operating at an arbitrary lighting condition.

Abstract: The present invention discloses a dynamic calibration method for a single and multiple video capture devices. The present invention can acquire the variations of the pan angle and tilt angle of a single video capture device according to the displacement of the feature points between successive images. For a plurality of video capture devices, the present invention includes the epipolar-plane constraint between a plurality of video capture devices to achieve the goal of dynamical calibration. The calibration method in the present invention does not require specific calibration patterns or complicated correspondence of feature points, and can be applied to surveillance systems with wide-range coverage.

Abstract: In a method for authenticating a charge-coupled device (CCD), e.g., in a digital camera including the charge-coupled device, a physical unclonable function is utilized for the authentication. In the method, a response to be measured of pixels in the charge-coupled device to a defined incident light is used as the physical unclonable function.

Abstract: In one embodiment, the present invention is a method and apparatus for measuring the focus performance of a camera and lens combination. One embodiment of a test target for measuring a focus performance of a camera and lens combination includes a target body, the target body displaying a pattern including: a primary pattern covering a portion of the target body and a secondary pattern superimposed over a portion of the primary pattern, the secondary pattern being aligned along an edge of the target body. The test target also includes a ruler positioned adjacent to the edge of the target body, a ruler positioned adjacent to the edge of the target body, such that the secondary pattern directly abuts a zero line of the ruler.

Abstract: A system is presented that applies M×N×K computational units to calculating image parameters on N picture images captured simultaneously by N digital camera devices, where there are N groups of frame grabber units, each containing M frame grabbers in which there are K computational units. The data operated on by a computational unit is separate and independent from the image data operated on by the other computational units. This results in a performance speedup of M×N×K compared to one computational unit making the same computations. A master frame grabber unit controls the illumination of the N digital camera devices, and synchronizes the illumination with the clocks of the N digital camera devices.

Abstract: A signal processing device for a solid-state imaging device correcting inter-pixel color mixing in the solid-state imaging device in which color filters having a color component constituting a primary component among luminance components and other color components are disposed on a surface of a two-dimensional array of pixels including a photoelectric conversion element is disclosed. The signal processing device includes a parameter distribution unit two-dimensionally distributing correction parameters in a pixel array surface on which a plurality of pixels are arranged and a signal correcting unit correcting a signal for a pixel of interest using each of signals for a plurality of surrounding pixels adjacent to the pixel of interest in the pixel array surface and using two-dimensionally distributed correction parameters for each of the signals.

Abstract: There is disclosed a calibration target detection apparatus that can be obtained at a low cost and without increasing storage capacity, is the apparatus being provided with: a light measurement region setting unit for setting a long light measurement region; a light-measuring unit for detecting light measurement information of the light measurement region; a profile generation unit for generating a first profile, wherein the long light measurement region taking a predetermined one direction as a long direction is scanned along the other direction orthogonal to the one direction, and the change in the light measurement information in the other direction is shown; and a second profile, wherein the long light measurement region taking the other direction as the long direction is scanned along the one direction, and the change in the light measurement information in the one direction is shown; and a position calculation unit for calculating, on the basis of a characteristic point of the first and second profiles,

Abstract: In a method for locating patterns of movement in a first digital video signal, wherein the first digital video signal comprising at least indirectly succeeding individual digital images is analyzed in real time, it is proposed for the locating of patterns of movement in a first digital video signal, during the occurrence of larger moving object volumes in real time, to assign at least a first location-changing foreground region in a first individual image in a predefined manner with a predefinable number of first markings, to subsequently determine the relative movement of the first markings between the first individual image and a subsequent second individual image, to subsequently associate each of the first markings with a predefinable first environment, to assign the first and/or at least one second location-changing foreground region in a predefined manner with a predefinable number of second markings, to remove the second markings disposed inside intersecting regions of a predefinable number of intersec

Abstract: Image capture systems capable of ensuring clear images are provided, in which an image capture module senses at least one image, and an operational module performs a compensation to the image capture system according to a modulation transfer function (MTF) value corresponding to the image, such that the image capture system can be operated under an optimized total gain thereby ensuring clear images.

Abstract: A method of calibrating a brightness value measured by a camera with an amount of light received by the camera includes creating a series of measurements, wherein for each measurement the amount of light received at an image plane in the camera is controlled to be a known ratio of two opposed irradiance values: a high irradiance value and a low irradiance value. Each ratio is correlated with the brightness value measured by the camera. A function is obtained describing the correlation.

Abstract: An iris calibration device includes one or more groups of light sources, a microcontroller (MCU), and a display. The MCU connects to a system on chip (SoC) of a digital camera device. The digital camera device includes an iris lens. The MCU receives an “on” command or an “off” command from the SoC. The MCU turns on or turn off a group of light sources according to the “on” command or the “off” command The SoC adjusts the iris lens according to an average luminance of the one or more light sources sensed by a sensor of the digital camera device.

Abstract: A projection system uses a transformation matrix to transform a projection image p in such a manner so as to compensate for surface irregularities on a projection surface. The transformation matrix makes use of properties of light transport relating a projector to a camera. A display pipeline of user-supplied image modification processing modules are reduced by first representing the processing modules as multiple, individual matrix operations. All the matrix operations are then combined with, i.e., multiplied to, the transformation matrix to create a modified transformation matrix. The created transformation matrix is then used in place of the original transformation matrix to simultaneously achieve both image transformation and any pre and post image processing defined by the image modification processing modules.

Abstract: Systems and methods are provided for calibrating image sensors. In some embodiments, a processing module of an image system can automatically perform a self-calibration process after a production unit of an image sensor has been integrated into an end product system. For example, the processing module can calibrate a production unit based on one or more reference pixels of the production unit, where the one or more reference pixels have minimal color filtration. In some embodiments, the processing module may perform local calibrations by correcting specifically for spatial variations in a color filter array (“CFA”). In some embodiments, the processing module can perform global calibrations by correcting for optical density variations in the CFA. In some embodiments, a processing module can determine whether the cause of production variations is related to production variations of a CFA or production variations of an infrared (“IR”) cutoff filter.

Abstract: An image testing method of an image pickup device and an image testing apparatus using such a method are provided. The image testing apparatus is in communication with the image pickup device. The image testing apparatus includes an image processing program, a multi-core processing unit and a storage unit. The image processing program is used for segmenting the main image, which is acquired by the image pickup device, into plural sub-image blocks, and transmitting the sub-image blocks to respective threads. The multi-core processing unit is used for synchronously executing the threads, thereby synchronously analyzing imaging quality of respective sub-image blocks. The storage unit is used for storing analyzing results of respective sub-image blocks. The analyzing results of respective sub-image blocks stored in the storage unit are combined together by the multi-core processing unit, thereby acquiring the imaging quality of the main image.

Abstract: A method of calibrating a digital camera includes dispersing white light through a test device to generate a color dispersion image including a plurality of different wavelengths of light; capturing a test image of the color dispersion image; obtaining intensity values corresponding to at least two of the different wavelengths of light from the test image; and comparing the intensity values to expected intensity values. The test device may include a color dispersion medium, e.g., a variable band pass filter, and/or a light transmission medium. The method may further include obtaining at least two different values corresponding to an intensity pattern image containing a plurality of intensities of undispersed light transmitted through a light transmission medium.

Abstract: Systems and methods are provided that facilitate mitigating column gain mismatch in a CMOS imaging System-on-Chip (iSoC) sensor. Tunable voltages that mimic presence of photo-charge can be provided to test pixels in one or more rows of a pixel array. Moreover, column-specific digital gain corrections can be calibrated based upon input data received from the test pixels. During calibration, actual data can be compared to a target expected to be obtained via an analog readout architecture. The calibrated, column-specific digital gain corrections can be utilized to correct for column gain mismatch to yield output data. Further, correction values corresponding to the column-specific digital gain corrections can be retained in and retrieved from memory. The correction values, for example, can be a function of a scaling parameter that is tuned to match an available memory dynamic to a range of uncorrected gain mismatch.

Abstract: A captured image including a preferential calibration index arranged in an exclusive region in a first plane and a non-preferential calibration index arranged in a common region is obtained. First, the coordinate position of the preferential calibration index is detected, and then the coordinate position of the non-preferential calibration index is calculated based on the positional relationship with the detected preferential calibration index. A homography between a captured-image surface of the image surface and the first plane is calculated based on the actual coordinate positions and the calculated coordinate positions representing the coordinates of at least four points, and camera calibration is performed using the homography.

Abstract: Methods and the corresponding device are presented for the correction of lateral chromatic aberration within a digital camera or other imaging device, using calibration approaches that do not require previously acquired lens data to effect the correction. An in-camera auto-calibration procedure is performed on the attached lens, such as when a lens is exchanged, and extracts parameters required for chromatic aberration correction, respecting zoom and focus, from one or more captured images. Based on image data extracted as a plurality of channels of a chromatic decomposition of the image, the chromatic aberration information for the lens is extracted. From the chromatic aberration information, the correction factors for the lens are determined.

Abstract: A method of mutually aligning first and second imaging system fixturing components forms a first alignment structure on the first imaging system fixturing component, a second alignment structure on the second imaging system fixturing component, and engages the first and second alignment structures to align, with optical accuracy, the first and second imaging system fixturing components.

Abstract: The present disclosure relates to a sensor network including a plurality of nodes, each node having a directional sensor, a communication module, and a processor configured to receive local measurements of a calibration object from the directional sensor, receive additional measurements of the calibration object from neighboring nodes via the communication module, estimate an initial set of calibration parameters in response to the local and additional measurements, receive additional sets of calibration parameters from neighboring nodes via the communication module, and recursively estimate an updated set of calibration parameters in response to the additional sets of calibration parameters. Additional systems and methods for calibrating a large network of camera nodes are disclosed.

Abstract: A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.

Abstract: An apparatus and method are disclosed for setting up a vision system having a camera and a vision processor cooperative with the camera. The apparatus includes a gesture recognizer, a key recognizer, a breakout box having at least two signaling elements, and a setup control unit that is cooperative with the gesture recognizer, the key recognizer, and the breakout box. The combination of using a key and a gesture set as herein described is substantially superior, as compared with known user interfaces for setting up a vision system that has been previously been engineered, in terms of low-cost, convenience, ease-of-use, simplicity, and speed.

Abstract: A system is presented that applies M×N×K computational units to calculating image parameters on N picture images captured simultaneously by N digital camera devices, where there are N groups of frame grabber units, each containing M frame grabbers in which there are K computational units. The data operated on by a computational unit is separate and independent from the image data operated on by the other computational units. This results in a performance speedup of M×N×K compared to one computational unit making the same computations. A master frame grabber unit controls the illumination of the N digital camera devices, and synchronizes the illumination with the clocks of the N digital camera devices.

Abstract: An optical testing apparatus can be operated according to a testing method to test quality of an imaging module of an electronic device. The optical testing apparatus includes a projector, a temperature control device, a processor, and a controller. The controller can control the imaging module to capture an image from the projector and transmit the captured image to the processor. The processor processes the captured image to determine the quality of the imaging module.

Abstract: The present invention discloses a dynamic calibration method for a single and multiple video capture devices. The present invention can acquire the variations of the pan angle and tilt angle of a single video capture device according to the displacement of the feature points between successive images. For a plurality of video capture devices, the present invention includes the epipolar-plane constraint between a plurality of video capture devices to achieve the goal of dynamical calibration. The calibration method in the present invention does not require specific calibration patterns or complicated correspondence of feature points, and can be applied to surveillance systems with wide-range coverage.

Abstract: In a particular embodiment, a method is disclosed that includes illuminating an opaque mask having a plurality of holes formed therein, each hole of the plurality of holes having a predetermined size. The method includes forming a two-dimensional impulse response image of the illuminated opaque mask using a camera module. The method further includes determining at least one optical characteristic of the camera module based on the two-dimensional impulse response image of the illuminated opaque mask.

Abstract: A method for automatic localization of objects in a mask. The method includes building a dictionary of atoms, wherein each atom models the presence of one object at one location and iteratively determining the atom of said dictionary which is best correlated with said mask, until ending criteria are met. The invention system concerns also automatically detects objects in a mask. At least one fixed camera is provided for acquiring video frames. A computation device is used for calibrating at least one fixed camera for extracting foreground silhouettes in each acquired video frames for discretizing said ground plane into a non-regular grid of potential location points for constructing a dictionary of atoms, and, for finding objects location points with the previous method. And a for propagating device is provided to propagate the result in at least one fixed camera view.