Abstract: This application discloses an image processing system, an image display method, a display device, and a storage medium, which belongs to the field of display technology. The method includes: acquiring a first resolution supported by a display panel currently installed in the display device; identifying a second resolution of pending image data input by a video source to the image processing system; determining a target data processing module in at least two data processing modules; retrieving the target data processing module to process the pending image data to obtain target image data; and outputting the target image data to the display panel. Since at least two data processing modules are provided in the image processing system, the image processing system may be compatible with display panels having at least two resolutions, which effectively improves the compatibility of the image display system. This application is used in display devices.

Abstract: The control unit of a projector drives modulators for the range of brightness of the image data with a first resolution of NN levels, wherein NN is an integer greater than one. The control unit applies a predefined brightness change to the brightness value in accordance with the image data for the image point such that a changed brightness value having a second resolution, which is greater than the first resolution, is calculated, and converts the changed brightness value into the increased brightness value such that it has the first resolution and is greater than a notional comparison value having the first resolution that arises if the predefined brightness change is applied to the brightness value in accordance with the image data, with the result that the control unit drives one of the modulators for a pixel to be boosted with the increased brightness value having the first resolution.

Abstract: There is provided a method, a device (104), and a system (100) for enhancing changes in an image (103a) of an image sequence (103) captured by a thermal camera (102). An image (103a) which is part of the image sequence (103) is received (S02) and pixels (408) in the image that have changed in relation to another image (103b) in the sequence are identified (S04). Based on the intensity values of the identified pixels, a function (212, 212a, 212b, 212c, 212d, 212e) which is used to redistribute intensity values of changed as well as non-changed pixels in the image is determined (S06). The function has a maximum (601) for a first intensity value (602) in a range (514) of the intensity values of the identified pixels, and decays with increasing distance from the first intensity value.

Abstract: Transmission of HDR image data is satisfactorily performed between apparatuses. A transmission apparatus (synchronized apparatus) transmits the HDR image data to a reception apparatus (source apparatus) over a transmission path. At that time, the transmission apparatus transmits information on a transmission method for and/or information on gamma correction for the HDR image data to the reception apparatus over the transmission path. The reception apparatus performs processing (decoding processing, gamma correction processing, and the like) on the received HDR image data, based on the information on the transmission method and/or the information on the gamma correction that are received. For example, the transmission apparatus receives from the reception apparatus the pieces of information on the transmission method and/or the gamma correction that the reception apparatus can support, selects the method that the reception apparatus can support, and thus uses the selected method.

Abstract: An image monitoring device includes a luminance calculator and a darkness determiner. The luminance calculator calculates a first average luminance value of an illuminated region which is illuminated with a lamp and a second average luminance value of a non-illuminated region which is not illuminated with the lamp. The illuminated region and the non-illuminated region are included in a video signal generated by capturing with a lens. The darkness determiner determines whether or not the video signal is captured in dark by comparing a difference between the first average luminance value and the second average luminance value with a first threshold value.

Abstract: This disclosure relates to an image processing method, an image processing method, and a program for easily correcting a defocus blur. A defocus blur conversion section sets an appropriate amount of defocus blur by referencing a database in accordance with current lens conditions of a projector (zoom/shift/focus). A defocus blur correction signal processing section generates, through signal processing, a corrected image in accordance with the defocus blur amount from the defocus blur amount conversion section in such a manner that an input image coincides with an output image. This disclosure can be applied, for example, to an image processing apparatus, an image encoding apparatus, an image decoding apparatus or the like.

Abstract: Disclosed is a method for converting an HDR image into an SDR image. The method includes the following operations: acquiring, by a television terminal, input HDR image data, and processing, by the television terminal, the acquired HDR image data through a first normalization; linearizing, by the television terminal, the HDR image data processed through the first normalization; processing, by the television terminal, the linearized HDR image data through a second normalization; and converting, by the television terminal, the HDR image data processed through the second normalization into SDR image data with a supported format. The present disclosure further provides a television terminal and a computer readable storage medium. The present disclosure effectively avoids the technical problem of a poor image display effect caused by that the non-HDR receivers cannot show the HDR effect. The present disclosure enables non-HDR receivers to show the HDR effect and improves the image display effect.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for parking a vehicle in a camera's field of view. The method may include actions of determining that a vehicle is parked within a predetermined distance of a property, obtaining data from a monitoring system component, determining, based on the obtained data, that the vehicle is not parked within a field of view of a camera, determining that (i) the vehicle should be parked within a field of view of the camera and (ii) that an image captured by the camera should include a representation of the vehicle, and performing an operation to instigate movement of the vehicle to a different location that is (i) within a field of view of a camera and (ii) where an image captured by the camera includes a representation of the vehicle.

Abstract: A projection device having a signal input unit, an image signal generating unit, an image adjustment unit, a control unit and a projection unit is provided. The signal input unit receives an external signal. The image signal generating unit generates an image signal. The image adjustment unit generates image adjustment gridlines according to the signal source. The control unit detects the signal input unit, and when the signal input unit does not receive the external signal, the control unit controls the image signal generating unit to generate the image signal to serve as the signal source. The projection unit projects the signal source and the image adjustment gridlines onto a projection plane. The projection device and the method for generating adjustment gridlines of the invention are still capable of generating the image adjustment gridlines in case that an input signal source does not exist.

Abstract: Systems and methods of the present disclosure provide for dynamic delay equalization of related media signals in a media transport system. Methods include receiving a plurality of related media signals, transporting the related media signals along different media paths, calculating uncorrected propagation delays for the media paths, and delaying each of the related media signals by an amount related to the difference between the longest propagation delay (of the uncorrected propagation delays) and the uncorrected propagation delay of the related media signal/media path. Calculating the uncorrected propagation delays and delaying the related media signals may be performed in response to a change to the propagation delay of at least one of the related media signals/media paths. Additionally or alternatively, calculating the uncorrected propagation delays and delaying the related media signals may be performed while transporting the related media signals.

Abstract: A geometric camera calibration system includes an extrinsic iterative closest point (ICP) device that generates an estimated extrinsic matrix by adjusting an initial extrinsic matrix according to first 3D points in camera coordinates; and an intrinsic ICP device that receives 3D points in chessboard coordinates and accordingly generates an error metric between the 3D points in chessboard coordinates and predetermined second reference 3D points. The extrinsic ICP device performs ICP operation to minimize difference between the 3D points in camera coordinates and predetermined first reference 3D points. A current intrinsic matrix is then outputted as an updated intrinsic matrix if a current error metric is not greater than a previous error metric.

Abstract: An imaging system for a land vehicle may include an imaging sensor, an evaluation device, and an output interface. The imaging sensor may be configured to acquire first signals and second signals, wherein the first signals are obtained via beam pulses provided by a first emitter and reflected on an object and the second signals are obtained via beam patterns provided by a second emitter and reflected on the objected. The evaluation device may be configured to obtain a first distance measurement based on the first signals and a second distance measurement based on the second signals. The evaluation device may also be configured to obtain a third distance measurement via a comparison of the first distance measurement and the second distance measurement.

Abstract: An endoscope system includes: a first processor configured to perform first image processing on a set of image data; a second processor configured to perform second image processing on another set of image data; a third processor configured to generate, based on sets of image data output from the first and second processors, display image data; a recorder configured to record therein image data based on the sets of image data output from the first and second processors; a fourth processor configured to generate a first synchronization signal for synchronization among the first processor, the second processor, and the third processor; a fifth processor configured to generate a second synchronization signal for synchronization between the third processor and the recorder; and a controller configured to select one of the first and second synchronization signals, and perform control for synchronization between the third processor and the recorder.

Abstract: An image display apparatus includes an image reception unit that receives image data from an external device, a display unit that displays an image related to the image data, a setting changing unit that changes, in accordance with an instruction determined in advance, a setting determined in advance, an image determination unit that determines whether or not a prescribed pattern determined in advance is included in the image related to the image data, a storage unit that holds the instruction in association with the prescribed pattern in advance, and a control unit that, when the image determination unit determines that the prescribed pattern is included in the image related to the image data, causes the setting changing unit to change the setting in accordance with the instruction associated with the prescribed pattern.

Abstract: A calibration system and method for Light detection and Ranging (LiDAR)-camera calibration is provided. The calibration system receives a plurality of images that includes a calibration pattern and a plurality of point cloud data (PCD) frames that includes the calibration pattern. The calibration system extracts a first normal to a first plane of the calibration pattern in a first PCD frame of the received plurality of PCD frames and further extracts a second normal to a second plane of the calibration pattern in a first image frame of the received plurality of image frames. The calibration system computes a transform between the extracted first normal and the extracted second normal and based on the computed transform, calibrates the LiDAR sensor with the camera.

Abstract: A laser beam scanning (“LBS”) display device is configured with an optical system that includes a laser beam emitter configured to emit a laser beam. The optical system also includes a driver configured to generate a driving signal for controlling a mirror, such as a microelectromechanical systems (“MEMS”) mirror. The optical system also includes an output limiter configured to limit an amplitude of the driving signal provided to the mirror to a bounded range. The output limiter might be implemented as hardware, software, or a combination of hardware and software.

Abstract: A multi-panel video wall and system is disclosed having a computer with a memory or access to a public or private cloud containing a video file and a processor for executing the video file and a plurality of video display screens interconnected to one another and to the computer via wired or wireless transmission, each of the plurality of video display screens configured to work together to display a video content generated from the video file that extends across all of the plurality of video display screens. Upon user interaction or detection of a user, one or more of the plurality of video display screens seamlessly transitions away from the video content to display a separate video content for interaction with the user.

Abstract: The invention aims at providing a measurement support device, an endoscope system, and a processor for an endoscope system capable of displaying an accurate indicator with a simple configuration. In a measurement support device related to one aspect of the invention, the coordinates of a spot, and coordinates of points indicating an actual size of a measurement target in a subject and indicating a circular marker distorted in accordance with distortion aberration of an imaging optical system are stored in association with each other in a storage unit, the coordinates of the points indicating the circular marker are acquired with reference to the storage unit on the basis of the measured coordinates of the spot, and the circular marker is displayed on the basis of the acquired coordinates. Thus, the distance measurement is unnecessary, the configuration is simple, and the processing load is low.

Abstract: Provided are an image display apparatus and an operation method thereof.

Abstract: An image monitoring device includes a maximum value and minimum value calculator, a small-luminance-difference determiner, a small-luminance-difference-block counter, and a dirt adherence determiner. The maximum value and minimum value calculator calculates, for each of a plurality of blocks set in one frame of a video signal obtained through a lens, a maximum luminance value and a minimum luminance value of a plurality of pixels forming each of the plurality of blocks. The small-luminance-difference determiner determines whether or not each of the blocks has a small luminance difference, by comparing a difference between the maximum luminance value and the minimum luminance value with a first threshold. The small-luminance-difference-block counter counts a number of blocks having the small luminance difference in the one frame. The dirt adherence determiner determines whether or not dirt is adherent to the lens, based on the number of blocks having the small luminance difference.