Abstract: Disclosed is an image sensing device including a plurality of defect detectors each suitable for detecting whether a corresponding target image value is defective, and generating detection information corresponding to a result of the detection, a defect scheduler suitable for sequentially outputting one or more defective image values, which are the target image values detected as defective among the plurality of target image values, based on the detection information, and a defect corrector suitable for correcting the output defective image values.

Abstract: In various examples, users may access a tool that automatically generates video montages from video clips of the user's gameplay according to parameterized recipes. As a result, a user may select—or allow the system to select—clips corresponding to gameplay of the user and customize one or more parameters (e.g., transitions, music, audio, graphics, etc.) of a recipe, and a video montage may be generated automatically according to a montage script output using the recipe. As such, a user may have a video montage generated with little user involvement, and without requiring any skill or expertise in video editing software. In addition, even for experienced video editors, automatic video montage generation may be a useful alternative to save the time and effort of manually curating video montages.

Abstract: A data processing apparatus and a method, a recognition apparatus, a learning data storage apparatus, a machine learning apparatus, and a program capable of improving recognition accuracy for data of a rare case are provided. A data processing apparatus according to one aspect of the present invention includes a recognition unit that learns using a learning data set, a recognition result correction unit that corrects a recognition result of the recognition unit for data acquired through a data acquisition unit in accordance with an instruction from a user, and a machine learning unit that performs learning of the recognition unit using the data in which the recognition result is corrected. The machine learning unit performs learning of the recognition unit by setting a degree of contribution to learning from the data in which the recognition result is corrected to be higher than a degree of contribution to learning of the recognition unit from learning data included in the learning data set.

Abstract: Methods and apparatus for compensating for bad pixels in a sensor array. In embodiments, a detector system receives an image on a sensor array of pixels for a first frame via a lens when the lens and the sensor array are configured in a first positional relationship. The array includes at least one bad pixel. The system moves the lens and/or the sensor array based on a position of the at least one bad pixel in the image such that the lens and the sensor array are configured in a second positional relationship. The image on the sensor array for a second frame is received via the lens when the lens and the sensor array are configured in a second positional relationship. The system compensates for the location of the at least one bad pixel in the image for the first and second frames to output a processed image.

Abstract: Briefly, a method for verifying the visual perceptibility of a display is provided. An intended message is written to a bistable display. Pixels that comprise portions of the message are measured and evaluated to determine if the message actually displayed on the bistable display was perceptible by a human or a machine. In some cases, information regarding the message actually perceivable from the display may be stored for later use. Responsive to determining that a message is perceivable or not perceivable, alarms may be set, one or more third parties notified, or additional display features may be set.

Abstract: An image sensor which relates to a technology for estimating crosstalk of each pixel is disclosed. The image sensor includes a pixel array including a plurality of unit test patterns, each of which is used to measure values of crosstalk components of a plurality of light blocking pixels generated by a single open pixel, the light blocking pixels and the single open pixel included in the unit test pattern, a storage circuit configured to store the measured values of the respective unit test patterns, a calculation circuit configured to calculate a crosstalk value about each target pixel included in the pixel array by combining the stored values, and a correction circuit configured to correct pixel data of the target pixel by reflecting the calculated crosstalk value in the pixel data.

Abstract: A defect pixel correction apparatus includes an internal memory which associates and stores a position of a defect pixel with an order of the defect pixel in an image sensor and a processor which corrects a pixel signal of an object pixel based on a pixel signal of an adjacent normal pixel when the adjacent normal pixel is present in the neighborhood of the object pixel and corrects the pixel signal of the object pixel based on a pixel signal of an adjacent defect pixel of a lowest order when the adjacent normal pixel is not present and the adjacent defect pixel of a lower order than an order of the object pixel is present.

Abstract: A camera based driver assistance system or vehicle safety system having a camera head including at least one imager unit for recording image data and converting said image data into a digital image signal and a serializing unit for providing said digital image signal at an output of said camera head. The camera system further includes a main processor unit connected to the output of said camera head by means of a data link connection for receiving and processing said digital image signal from said camera head. The camera head includes at least one bloc containing calibration data for said imager and a digital control circuit, said bloc and/or said digital control circuit being operatively coupled to said serializing unit and configured in such a way that said calibration data are transferable to said serializing unit and subsequently transmittable to said main processor unit to be used in the processing of said digital signal from said camera head.

Abstract: To facilitate conversion of a frame rate of moving image data in an imaging element that images the moving image data. A pixel array unit is divided into a plurality of divided regions each including a plurality of partial regions. A scanning circuit sequentially performs control of exposing a predetermined number of regions of the plurality of partial regions as first partial regions to output first pixel data in each of the plurality of divided regions, and control of exposing a region different from the first partial regions of the plurality of partial regions as a second partial region to output second pixel data in each of the plurality of divided regions. An image processing unit sequentially performs processing of arraying the first pixel data to generate a first frame and processing of arraying the second pixel data to generate a second frame.

Abstract: A flash band determination device that is capable of always detecting a flash band with high accuracy. It is determined whether or not there is a flash band caused by an external flash of light, which is an area having a luminance level higher than a threshold level, in a plurality of images which are continuously obtained. The threshold level is changed with respect to an image picked up with an exposure condition which is different from an exposure condition used in picking up a preceding image.

Abstract: An image capturing device including a mode switch rotatable to change a pointing position movable between three predetermined positions corresponding to at least three image-capturing modes including a first mode, a second mode, and a third mode, to switch between the first mode, the second mode, and the third mode. The image capturing device further includes a power switch and circuitry. The power switch receives a user input for turning on or off the power of the image capturing devices. The circuitry controls the image capturing device to operate in one of the three image-capturing modes. When the power switch receives a user input for turning on the power, the circuitry controls the image capturing device to operate in one of the three image-capturing modes corresponding to the pointing position of the mode switch that has been set when the power switch is turned off.

Abstract: An imaging device includes a pixel region in which a plurality of pixels and a plurality of charge-to-voltage conversion circuits are arranged in matrix. The pixels include photoelectric conversion elements that output charges in accordance with intensity of received light. The charge-to-voltage conversion circuits convert the charges output from the pixels into voltage signals. The pixel region includes an isolated region including isolated shaded pixels covered with a first shading metal of the same layer as a layer of wiring metals of the charge-to-voltage conversion circuits, and an isolated pixel that is not covered with the metal. All the pixels surrounding the isolated pixel in the isolated region are the isolated shaded pixels.

Abstract: A mobile device may include a camera assembly, a processor, memory, and a barcode-reading application. The camera assembly may include an image sensor. Pixels in a predetermined location of the image sensor may be defective pixels that provide the same output values regardless of actual characteristics of incident light. The barcode-reading application may be stored in the memory. The barcode-reading application may be executable by the processor to enable at least one enhanced mode of operation of the barcode-reading application conditional upon confirming that the image sensor comprises the defective pixels in the predetermined location.

Abstract: A method for measuring lens distortion, comprising: providing a test card having a dot matrix pattern of K×N dots, wherein the K and the N are both positive integer; obtaining a distorted image of the test card after being distorted by a lens; establishing a planar coordinate system for the distorted image by using a dot at an upper left corner of the distorted image as a coordinate origin, a rightward direction from the origin as a positive direction of axis X, and a downward direction from the origin as a positive direction of axis Y; positioning a center dot of the distorted image and all non-center dots by scanning and searching, and determining coordinate values of the center dot and all the non-center dots in the planar coordinate system; and calculating a distortion amount of the distorted image by using the coordinate values of the center dot and all the non-center dots according to a distortion amount calculation equation for the distorted image, thereby obtaining a distortion amount of the lens.

Abstract: An image pickup apparatus enabling reduction of information amount of defective pixels of an image pickup device having pixels pupil-dividing light through a photographic optical system. Each pixel is provided with PD portions for one micro lens for pupil-division of the light. First image data is generated by adding all signals from the PD portions, and second image data is generated by a signal output from one PD portion or by adding signals from part of PD portions. First defect information indicates defect information of the first image data, and second defect information is formed by excluding information redundant with the first defect information from defect information of the second image data. Defective pixels included in the second image data are designated based on the first defect information and the second defect information. The second image data is corrected by correcting the designated defective pixels.

Abstract: A video noise analyzer for detecting residual point noise in a video generates a list of candidate defective pixels by joining results of a temporal invariance detector and a spatial outlier detector. A data store is structured to contain data describing the candidate defective pixels and/or the blocks from which the pixels were selected. In other embodiments, a video noise analyzer includes a first salient analyzer structured to compare pixels within a block to a mean value of other pixels within the same block, a first threshold processor to generate a first pixel candidate list including pixels that differ significantly from their neighboring pixels, a second salient analyzer structured to generate a difference value between a subject pixel, its neighboring pixels, and neighbors of the neighboring pixels, and an identifier to label as a candidate dead pixel those pixels having a frequency occurrence of visual saliency greater than a predefined frequency threshold.

Abstract: A method for automatically determining the 3D position and orientation of a radio-opaque medical object in a living body using single-plane fluoroscopy comprising capturing a stream of digitized 2D images from a single-plane fluoroscope (10), detecting the image of the medical object in a subset of the digital 2D images, applying pixel-level geometric calculations to measure the medical-object image, applying conical projection and radial elongation corrections (31) to the image measurements, and calculating the 3D position and orientation of the medical object from the corrected 2D image measurements.

Abstract: Display devices are disclosed. In one aspect, the display device includes a display panel having a display area including a plurality of pixels and a non-display area surrounding the display area. The display panel includes a plurality of gate lines and a plurality of data lines, and the gate and data lines are electrically connected to the pixels. The display device also includes a driving integrated circuit (IC) formed over the non-display area and configured to drive the pixels and a panel information memory formed over the non-display area and configured to store attribute information of the display panel.

Abstract: An image capturing apparatus includes an image sensor 104 in which at least part of pixels arranged in two dimensions are configured as focus detection pixels with divided-pupil, a memory control circuit 113 configured to read out from a memory position information for the focus detection pixels 401, 402 stored in the memory, and a correction circuit 110 configured to identify positions of the focus detection pixels 401, 402 in the image sensor 104 based on the position information for the focus detection pixels 401, 402 and to correct a defective focus detection pixel signal using defect-free focus detection pixel signals.

Abstract: An image processing apparatus includes a transformation circuit that performs a predetermined transformation process based on a reference area referred from an input image stored in a first memory corresponding to each divided area that divides an output image to be generated into multiple areas and a second memory that stores a transmission area including a logical OR area of the multiple reference areas. The transformation circuit transfers the transmission area from the first memory to the second memory and performs the predetermined transformation process based on the reference area included in the transmission area transferred to the second memory.

Abstract: A radiation imaging apparatus includes a first control line electrically connected to a control electrode of an imaging switching element, a second control line electrically connected to a control electrode of a detection switching element, a signal line electrically connected to a main electrode of the detection switching element, a capacitance line arranged to be capacitively coupled with the signal line, wherein the capacitance line is different from the first control line and the second control line, a driving unit electrically connected to the second control line and the capacitance line and configured to apply a voltage to the detection switching element and the capacitance line, and a control unit configured to control the driving unit to apply, in a case where an on-state or off-state voltage is applied to the detection switching element, a voltage having an opposite polarity to that of the voltage to the capacitance line.

Abstract: An image compensation correction method and a banknote recognition and detection device. The image compensation correction method is applied to the banknote recognition and detection device. The banknote recognition and detection device comprises: a micro controller; a programmable logic device which is connected to the micro controller; an AD chip, a drive circuit and a static random access memory which are connected to the programmable logic device respectively; and a contact image sensor which is connected to the AD chip and the drive circuit respectively. A compensation correction lookup table is pre-stored in the static random access memory, and the programmable logic device can acquire banknote compensation correction data corresponding to a banknote image pixel point by accessing the static random access memory, and send same to the micro controller.

Abstract: A controller for an image sensor includes a mode selector that receives a selection between image capture mode and data capture mode. An exposure sensor collects exposure data for a scene falling on the image sensor. A command interface sends commands to the image sensor to cause the image sensor to capture an image with a rolling reset shutter operation in which an integration interval for the image sensor is set based on the exposure data if the image capture mode is selected. The integration interval for the image sensor is set to less than two row periods, preferably close to one row period, without regard to the exposure data if the data capture mode is selected. An analog gain may be increased to as large a value as possible in data capture mode. All pixels in a row may be summed before AD conversion in data capture mode.

Abstract: The basis of the invention is an apparatus and a process by which a variable aperture stop mechanism coupled with imaging optics and detector processing electronics achieves measurements of detector pixel gain and level offsets without temporarily blocking the scene from the detector, and without the addition of any other exterior calibration equipment.

Abstract: An image processing apparatus for processing a picked-up image which is output from an image pickup element in which a microlens array for obtaining the picked-up image including ray directional information of an object image formed by a photographing optical system has been arranged has: a refocus processing unit for executing a refocus processing of the obtained picked-up image on the basis of the ray directional information and generating a reconstruction image; and a defect pixel detection unit for detecting a defect pixel from the obtained picked-up image. When the picked-up image is obtained, the detection of the defect pixel of the obtained picked-up image is performed. When a refocus processing is instructed, the refocus processing is executed to the picked-up image in which the detection of the defect pixel is performed.

Abstract: An imaging device includes: an imaging unit having an imaging element formed of a plurality of pixels, and configured to perform imaging under a first exposure condition to generate first image data and to perform imaging under a second exposure condition different from the first exposure condition to generate second image data; an image composition unit configured to generate composite image data with an expanded dynamic range based on the first image data and the second image data; and an image file generation unit configured to generate an image file in which the first image data, the second image data, the composite image data, and position information on positions of pixels mutually replaced in a first image corresponding to the first image data and a second image corresponding to the second image data when the image composition unit generates the composite image data, are recorded in association with one another.

Abstract: An image pickup apparatus which can detect, when pixels have a structure in which part of electrical construction is shared therebetween, a defective pixel by taking into account a high possibility of the other pixels sharing the part of electrical construction becoming defective pixels, thereby making it possible to obtain an excellent image. A ROM stores in advance position information on each defective pixel. A defective pixel-detecting section detects a new defective pixel on which position information is not stored by the storage unit, from the pixels forming each pixel group, by performing one of different types of defective pixel detection processing. A system controller causes the defective pixel-detecting section to execute one of the different types of detection processing, according to the number of defective pixels which are included in each pixel group and on which the position information is stored in the storage unit.

Abstract: An image processing apparatus obtains an image signal of an image pickup element having a pupil division unit that restricts light of an optical image of an object arriving at each pixel of the element to light from a specific pupil area of a photographing lens. A memory unit stores information of a pixel defect of the element. An image shift unit determines a shift amount of the image signal of the photographed object corresponding to an image re-formation plane for every pupil area, to shift the image signal on the basis of the plane. A defect correction unit corrects an image signal of a defective pixel using the shifted image signal of a pixel other than the defective pixel, in accordance with the information of the pixel defect. An image re-formation unit re-forms an image corresponding to the image re-formation plane from the corrected image signal.

Abstract: An apparatus includes: a current control unit to control an amount of constant current and supply a first and second constant currents to an infrared detection pixel; a constant current supply time control unit to control periods of time in which the first and second constant currents are supplied to the infrared detection pixel; an A-D converter to convert a first and second electrical signals from the infrared detection pixel into a first and second digital signals, the first and second electrical signals being generated when the first and second constant currents is supplied to the infrared detection pixel, respectively; a subtracting unit to calculate a difference between the first and second digital signals; and a determining unit to determine whether the infrared detection pixel is a defective pixel based on the absolute value of the difference calculated by the subtracting unit.

Abstract: Methods and systems for use in calibrating imaging data, are provided that include using a calibration array to generate a test pattern. The calibration array can emit a test pattern having geometric, temporal, and electromagnetic characteristics. The collected data can be compared with the geometric, temporal and electromagnetic characteristics to determine an error factor that can then be used in analyzing the collected data.

Abstract: Embodiments of methods, systems, and storage medium associated with providing user records associated with characteristics that may be used to identify the user are disclosed herein. In one instance, the method may include obtaining features of an individual, determining identifying characteristics associated with the obtained features, and initiating a search for a record associated with the individual based in part on the identifying characteristics associated with the obtained features, and, based on a result of the search, a verification of the record associated with the individual. The method may further include receiving at least a portion of the record associated with the individual, based at least in part on a result of the verification. The verification may be based in part on a ranking associated with the record. Other embodiments may be described and/or claimed.

Abstract: An image processing apparatus includes a gain correcting unit and a gain estimating unit. The gain correcting unit corrects a gain of a pixel output of a phase-difference detecting pixel. The gain estimating unit estimates the gain with which to correct the pixel output of the phase-difference detecting pixel. The gain estimating unit includes a provisional true-value calculating unit configured to calculate a pixel output of a provisional true-value calculating pixel, in accordance with a correlation of the pixel outputs between a base block including the phase-difference detecting pixel and a reference block set in a search area for which a block similar to the base block is searched.

Abstract: The disclosed subject matter relates to providing panoramic stereo vision captured with a single camera scheme employing a catadioptric optical path. In an aspect the presently disclosed subject matter can capture a stereo image over a full 360-degree horizontal field of view or portions thereof. Further, the vertical FOV is enlarged compared to conventional cata-fisheye schemes. A system according to the instant subject matter can be calibrated with a computational model that can accommodate a non-single viewpoint imaging model to conduct 3D reconstruction in Euclidean space.

Abstract: Systems, methods and computer readable media for image enhancement using learned non-photorealistic effects. In some implementations, a method can include obtaining an original image. The method can also include analyzing the original image to determine one or more characteristics of the original image. The method can further include selecting one or more filters based on the one or more characteristics and applying the one or more filters to the original image to generate a modified image. The method can include causing the modified image to be displayed.

Abstract: Embodiments described herein may operate to image a scene with an imaging system using an image blurring technique. An image sensor array (ISA) element may be identified as a dark defect element if a first ratio of an average of a set of illuminance signal magnitudes from a set of surrounding ISA elements to a magnitude of an illuminance signal from the ISA element is greater than a threshold sharpness value. The image sensor array element may be identified as a bright defect element if a second ratio of the magnitude of the illuminance signal from the ISA element to the average of the set of illuminance signal magnitudes from the set of surrounding ISA elements is greater than the threshold sharpness value.

Abstract: There is provided an imaging apparatus including a correction section configured to amplify an addition pixel value, which is a value obtained by adding results of photoelectric conversion on a plurality of pixels, according to an amplification factor set based on a number of defective pixels included in the plurality of pixels, and output the amplified addition pixel value as a corrected addition pixel value.

Abstract: Embodiments described herein may operate to compare an illuminance corresponding to a signal from an image sensor array (ISA) element in a production imaging system with an illuminance associated with optical flare incident to an ISA from which the ISA element is selected. The ISA element may be identified as unusable if the illuminance corresponding to the signal from the ISA element is less than the illuminance associated with the optical flare incident to the ISA.

Abstract: An image pickup device without a light shielding device for blocking light received by a solid-state image pickup element, the image pickup device including: a supplying section configured to supply a signal for resetting a charge of a floating diffusion disposed so as to correspond to one or a plurality of pixels in the solid-state image pickup element; and a detecting section configured to detect a pixel in which change in output of the pixel after passage of a certain time from the resetting of the charge of the floating diffusion is larger than a predetermined threshold value.

Abstract: An image pickup element of an image pickup apparatus photoelectrically converts an optical image of an object to be photographed, and outputs an image signal of the photographed object. A memory unit stores information of a pixel defect of the image pickup element and information for determining an angle of incidence of the optical image arriving at each pixel of the image pickup element. A setting unit sets an image re-formation plane on which an image is re-formed from the image signal of the photographed object. A pupil division unit restricts light of the optical image of the object arriving at each pixel of the image pickup element to a light from a specific pupil area of the photographing lens. An image shift unit determines a shift amount of the image signal corresponding to the image re-formation plane for every pupil area, to shift the image signal.

Abstract: Methods and systems for use in calibrating imaging data, are provided that include using a calibration array to generate a test pattern. The calibration array can emit a test pattern having geometric, temporal, and electromagnetic characteristics. The collected data can be compared with the geometric, temporal and electromagnetic characteristics to determine an error factor that can then be used in analyzing the collected data.

Abstract: Among defective pixels of an image sensor, defective pixels which need to be corrected are determined depending on the type and defect level for individual defective pixels and on image capturing conditions. Depending on the types of the defective pixels, the correspondences between the image capturing conditions and the defect levels of the defective pixels to be corrected are prepared in advance, thereby carrying out appropriate defective pixel correction in view of the fact that the dependence of the abnormal signal output level on the image capturing conditions differs depending on the type of defective pixel.

Abstract: An image capturing apparatus comprises: an image sensor that includes a plurality of pixels, each including a plurality of photoelectric conversion elements; a readout unit that reads out a signal from a portion of the photoelectric conversion elements of each pixel as a first signal and reads out a sum of signals from the plurality of photoelectric conversion elements of each pixel as an image signal; a generation unit that generates a second signal for each pixel using the image signal and the first signal; and a calculation unit that calculates a moving amount of a focus lens for achieving an in-focus state based on a phase difference between the first signal and the second signal. The calculation unit performs the calculation without using a signal from a defective line.

Abstract: An image sensing apparatus includes an image sensing unit having an image sensor, an optical member which is arranged in front of the image sensor, a foreign substance detection unit which detects, from a foreign substance detection image including the image of a foreign substance adhered to the surface of the optical member, a recording unit which, when shooting a moving image, records moving image data generated based on image signals successively output from the image sensing unit, and records foreign substance information and lens information in addition to the moving image data, and a lens information obtaining unit which, when the lens information is updated by operating the imaging lens by a user during moving image shooting, obtains the updated lens information. When the lens information obtaining unit obtains the updated lens information, the recording unit records the updated lens information in addition to the moving image data.

Abstract: An anomalous component within a processing system is identified. One or more transformed metrics of a processing system being monitored are analyzed, and an anomaly in the processing system is detected. Based on detecting the anomaly, at least one transformed metric is inversely transformed to obtain at least one suspect original metric. Using the at least one suspect original metric, the anomalous component is identified.

Abstract: This disclosure describes techniques for producing high dynamic range images by applying a variable weighting factor to a sample prior to combining the sample with another sample. In one example, a method includes sampling a first pixel cell signal at a first time to produce a first sample, sampling a second pixel cell signal at a second time to produce a second sample, applying a variable weighting factor to the second sample, wherein the variable weighting factor is defined based on a function, and combining the first sample and the weighted second sample.

Abstract: A method of pixel correction is disclosed. The method generally includes the steps of (A) calibrating a per-pixel correction model of a sensor at a plurality of different illumination levels, (B) generating a plurality of pixel values from the sensor in response to an optical signal and (C) generating a plurality of corrected values by applying the per-pixel correction model to the pixel values.

Abstract: Systems and methods of bad pixel cluster detection are disclosed. In a particular embodiment, a system is disclosed that includes a bad pixel correction module coupled to receive image data and adapted to perform a bad pixel cluster detection process. The bad pixel correction module includes logic to determine whether two test pixels have values that exceed a representative value of a group of surrounding pixels by more than a threshold amount. The threshold amount is determined via a table lookup.

Abstract: According to one embodiment, an image processing device includes a defect correcting unit, a noise-reduction processing unit, and a selecting unit. The defect correcting unit executes defect correction on a target pixel. The defect correcting unit switches, according to the level of contrast determined concerning a plurality of peripheral pixels, a first correction value obtained through averaging processing for signal values of the peripheral pixels and a second correction value other than the first correction value.

Abstract: Provided is a method for correcting a bad pixel in an image sensor. The method includes a first step of creating and storing a plurality of image frames of an object; a second step of scanning pixels in the image frames; a third step of storing, when a bad pixel is detected in the image frames, the location of the bad pixel as a bad block location in a memory; and a fourth step of correcting the luminance value of the bad block by calling the bad block location stored in the memory in an image capture operation.

Abstract: A method for correcting a defect pixel includes extracting a pixel value of a central pixel, and pixel values of each of a plurality of neighboring pixels around the central pixel in an image sensor by using a color filter; calculating reference levels by multiplying each the pixel value of the plurality of neighboring pixels by a weight value; calculating a total number of cases where the pixel value of the central pixel is larger or smaller than the reference level as a first comparison value or second comparison value, respectively; determining the central pixel is a defect pixel where the first or second comparison value is larger than a first or second control register value, by comparing the comparison values with the control register values, respectively; and correcting the central pixel determined as the defect pixel.