Abstract: One or more embodiments of the present invention are directed to a display device including a display unit configured to output an image, a brightness converting unit configured to acquire a brightness corrected image by correcting brightness of the image, and a controller configured to detect a face included in the image, to acquire a color corrected image by applying a gain value to a color of the brightness corrected image according to whether the face is detected, and to output the color corrected image or the brightness corrected image through the display unit.

Abstract: An image device has an array of pixels, each pixel having a photosensitive area, a first storage node and a second storage node. A pixel is illuminated for a first period of time, and charge accumulated on the photosensitive area of the pixel during the first period of time is stored on the first storage node of the pixel. The pixel of the array is illuminated for a second period of time, and charge accumulated on the photosensitive area during the second period of time is stored on the second storage node of the pixel. A first signal is generated based on the charge stored on the first storage node, and a second signal is generated based on the charge stored on the second storage node. The first and second signals are combined using at least one subtraction operation having the first and second signals as operands.

Abstract: Provided is an apparatus and method that perform display control to avoid a blackout of a display unit at the time of capturing an image for recording. The apparatus includes an imaging element, a frame memory, a display unit, and a control unit, and the control unit starts exposure preparation processing of the image for recording in response to input detection of image-capturing operation on the imaging apparatus, and executes exposure processing of the image for recording in the imaging element and storage processing of the image for recording in the frame memory after completion of the exposure preparation processing. Moreover, the control unit stops exposure of an image for displaying of the imaging element with the start of the exposure preparation processing, and displays the image for displaying on the display unit until display of the image for recording is enabled, to avoid the blackout.

Abstract: The present principles relate to a method and device for gamut mapping from a first color gamut towards a second color gamut. The method comprises, in a plane of constant hue, obtaining a target lightness for a color on the boundary of first gamut with maximum chroma, called first cusp color; and lightness mapping of the color from the first color gamut towards the second color gamut wherein the lightness mapped color is calculated from a parabolic function applied to the color, the parabolic function mapping the first cusp color to a color having the target lightness. According to a particular characteristic, a preserved chroma is also obtained; and in case the chroma of the color is lower than or equal to the preserved chroma, the lightness mapped color is the color, and in case the chroma of the color is higher than the preserved chroma, the lightness mapped color is calculated from the parabolic function applied to the color.

Abstract: A method of providing correlated depth data in video data, the method comprising identifying depth information encoded within pixel information of a frame of video data, extracting the depth information, and utilizing the depth information for displaying the video data to a user.

Abstract: An image processing method and apparatus, an image device, and a storage medium are provided. The method includes: detecting key points of a first face image; determining a target region for malar fat pad region adjustment based on the key points; determining an adjustment parameter for a malar fat pad region based on the key points; and adjusting the target region based on the adjustment parameter to form a second face image.

Abstract: A method for video quality detection and an image processing circuit thereof are provided. In the method, an image-processing circuit receives video signals with at least one frame image, and obtains brightness information of pixels from the frame image. A threshold is applied to the pixels of each frame in order to screen the brightness features that can be regarded as an attribute of each frame image. Therefore, a brightness distribution feature with respect to the pixels of each frame image can be obtained by a statistic method. Statistics showing the brightness distribution can be used to determine a quality of each frame image or a video. The image processing circuit can accordingly select an image processing process corresponding to the image quality of each frame image or the whole video.

Abstract: The present application discloses a method for reducing brightness of images at least partially. The method includes determining a grayscale mapping table corresponding to a previous frame of image and adjusting grayscale value of each pixel of a current frame of image based on the grayscale mapping table to enhance a contrast ratio to determine an after-adjust grayscale value of each pixel of the current frame of image. Furthermore, the method includes determining one or more coefficients of grayscale reduction based on the after-adjust grayscale value of each pixel of the current frame of image. Moreover, the method includes reducing grayscale value of each pixel of a next frame of image based on the one or more coefficients of grayscale reduction and after-adjust grayscale values of corresponding pixels of the next frame of image.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by removing artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a preceding lower resolution image in the video file and at least one corresponding image portion of a subsequent lower resolution image in the video file, upscale the lower-resolution image using bilinear upsampling, and combine the upscaled received image and residual value to generate an enhanced image.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a previously generated higher resolution image in the video file, upscaling the received image using bilinear upsampling, and combining the upscaled received image and residual value to generate an enhanced image.

Abstract: A method includes: storing (i) a reference image of a chute for receiving objects, and (ii) a region of interest mask corresponding to a location of the chute in a field of view of an image sensor; at a processor, controlling the image sensor to capture an image of the chute; applying an illumination adjustment to the image; selecting, at the processor, a portion of the image according to the region of interest mask; generating a detection image based on a comparison of the selected portion and the reference image; determining, based on the detection image, a fullness indicator for the chute; and providing the fullness indicator to notification system.

Abstract: A radiation imaging apparatus is provided. The apparatus comprises an image capturing unit that is provided with pixels for converting incident radiation into electrical signals and is configured to output first image data, a storage unit configured to store position information of a first pixel which continuously outputs an abnormal pixel value, a replacing unit configured to generate second image data from the first image data by replacing a pixel value of the first pixel with a preset setting value based on the position information and a correction unit configured to detect a second pixel which is not stored in the storage unit and outputs an abnormal pixel value, and correct the pixel value of the second pixel. The correction unit detects and corrects the second pixel based on the second image data that includes the first pixel whose pixel value has been replaced.

Abstract: A method of providing a graphical output may include scanning at least a portion of a user's face using a sensor; generating a depth map using the scan; and determining a similarity score between the depth map and a set of stored biometric identity maps that are associated with a registered user. In response to the similarity score exceeding a threshold, the user may be authenticated as the registered user. The method may further determine a corrective eyewear scenario, select a display profile that is associated with the corrective eyewear scenario, and generate a graphical output in accordance with the selected display profile.

Abstract: An approach is provided that uses an array of LEDs to illuminate for digital image capturing. A system that includes a processor, a memory accessible by the processor, a digital camera accessible by the processor, a display screen accessible by the processor, and an array of a plurality of LEDs surrounding the display screen, where the array of LEDs is also accessible by the processor. Preferred image quality attributes are retrieved. Then a setting of a set of LEDs is made to a lighting attribute, such as color or brightness. Afterwards, the an image of a subject illuminated by the plurality of LEDs is captured and attributes of this image are compared to the preferred image quality attributes. Based on the comparison, the approach then adjusts the attributes of the set of LEDs.

Abstract: The various embodiments of the present disclosure are directed towards methods for tone mapping High-Dynamic-Range (HDR) image data, as well as controlling the brightness of the image encoded by HDR the image data and/or the tone-mapped image data. HDR image is captured. A tone mapping function for the HDR image data is generated. To generate the tone mapping function, control points are dynamically determined based on an analysis of the HDR image data. The tone mapping function is fit to the control points. The tone mapping function is a non-linear function, and is described by a curve in a plane. The shape of the curve is constrained by a line generated from a portion of the control points. The tone mapping function is applied to the HDR image data. A color-compression is applied to the tone mapped image data to generate Standard Dynamic Range or Low Dynamic Range image data.

Abstract: Methods and apparatus for the generation of interpolated frames of video data. In one embodiment, the interpolated frames of video data are generated by obtaining two or more frames of video data from a video sequence; determining frame errors for the obtained two or more frames from the video sequence, determining whether the frame errors exceed a threshold value; performing a multi-pass operation; performing a single-pass operation; performing frame blending; performing edge correction; and generating the interpolated frame of image data.

Abstract: The present disclosure provides a dynamic tone mapping method, a mobile terminal, and a computer readable storage medium. The method includes: acquiring maximum brightness information and average brightness information of a frame to be displayed on the display terminal; inquiring a tone mapping data group respectively corresponding to the maximum brightness information and the average brightness information in a preset tone mapping look-up table; and calling the tone mapping data group and transforming a tone mapping on the frame to be displayed on the display terminal. The present disclosure can change the tone mapping data group for transforming the tone mapping in real time according to the maximum brightness information and the average brightness information of the frame monitored in real time, to reasonably utilize the hardware dynamic range and present a better HDR effect.

Abstract: An image processing apparatus divides a first image into a plurality of areas based on obtained image data of the first image and sets relationship information between input brightness values with output brightness values for each of the plurality of areas, and converts, based on the relationship information, a brightness value of pixels included in the first image into a brightness value of pixels of a second image whose brightness range is narrower than that of the first image. In the conversion, the apparatus sets, for at least some pixels of the first image, a size of a window for specifying pixels within a predetermined area including the pixels based on environment information in which the second image is observed, and calculates a brightness value in the second image for each of the at least some pixels based on the window.

Abstract: In one general embodiment, a computer-implemented method is provided. The computer-implemented method includes receiving data comprising at least one data stream. Each data stream of the at least one data stream includes a plurality of points. The computer-implemented method also includes producing a result by remapping the at least one data stream in a point-by-point manner, and outputting the result.

Abstract: An image processing method includes acquiring an image in a chrominance-luminance separation color mode; performing scene recognition of the image to determine a scene of the image; traversing luminance components of respective pixel points in the image, and generating a luminance distribution of the image according to a traversing result of the luminance components; generating a luminance mapping relation based on a standard luminance distribution corresponding to the scene of the image and the luminance distribution of the image; and adjusting the luminance components of the respective pixel points in the image according to the luminance mapping relation to generate a first processed image.

Abstract: A method for detecting background color of a scanned document uses dynamic weights to adjust components of the L*a*b* color space. In accordance with one aspect of the disclosure, the L*a*b* values belonging to pixels within a block are applied to a series of thresholds. In response to the L*a*b* values meeting the thresholds, a given color pixel within the block is reclassified as being monochromatic. The weight values are dynamically updated based on at least one of the L*a*b* values of the given pixel. The thresholding is repeated for remaining pixels in the document. Using the classified pixels, an output document is generated where the background pixels are monochromatic. The output document is transmitted to a display device in communication with the server computer.

Abstract: Systems, apparatuses, and methods for performing parallel histogram calculation with application to palette table derivation are disclosed. An encoder calculates a first histogram for a first portion of pixel component value bits of a block of pixels. Then, the encoder selects a first number of the highest pixel count bins from the first histogram. Also, the encoder calculates a second histogram for a second portion of pixel component value bits of the block. The encoder selects a second number of the highest pixel count bins from the second histogram. A third histogram is calculated from the concatenation of bits assigned to the first and second number of bins, and the highest pixel count bins are selected from the third histogram. A palette table is derived based on these highest pixel count bins selected from the third histogram, and the block of pixels is encoded using the palette table.

Abstract: A photoelectric conversion device has an isolation structure. First and second isolation portions are provided between first and second photoelectric conversion elements. The first isolation portion extends from a first plane of a semiconductor layer to a position corresponding to at least a quarter of a length from the first plane to a second plane of the semiconductor layer. The second isolation portion extends from the second plane of the semiconductor layer to a position corresponding to at least a quarter of the length from the first plane to the second plane.

Abstract: The present disclosure relates to an image processing device, and an image processing method that enable display of an endoscopic image in an easy-to-view manner, and a medical imaging system. The image imaged by an endoscope device is smoothed by LPF and lightness I, chromaticity r, g, and brightness Y are obtained from a smoothed image. A histogram is obtained in units of blocks using the brightness Y, and a frequency in a direction being an upper order is obtained as a gradient bias feature amount Bb. Furthermore, the lightness and the chromaticity are also obtained as feature amounts Ib, rb and gb of lightness and chromaticity in units of blocks.

Abstract: A method for a pilot vehicle for influencing a passing maneuver of at least one second vehicle approaching the pilot vehicle, including the steps: detecting surroundings of the pilot vehicle; identifying a passing intention of the at least one second vehicle; detecting at least one third vehicle on a passing trajectory of the at least one second vehicle; ascertaining and selecting at least one passing maneuver of the at least one second vehicle as a function of the at least one detected third vehicle. The method provides for the emission of at least one signal for controlling the at least one selected passing maneuver. Alternatively provided is a method for a second vehicle for influencing a planned passing maneuver of the second vehicle or a method for a third vehicle for influencing a planned passing maneuver of a second vehicle.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to enable medical image visualization and interaction in a virtual environment. An example apparatus includes at least one processor and at least one memory including instructions. The instructions, when executed, cause the at least one processor to at least: generate a virtual environment for display of image content via a virtual reality display device, the image content to include a two-dimensional image overlaid on a three-dimensional volume; enable interaction with the image content in the virtual environment via an avatar, movement of the avatar to be correlated with an external input; adjust the image content in the virtual environment based on the interaction; and generate an output of image content from the virtual environment.

Abstract: A system and method for filling light for video images are provided. The method may include: obtaining, by at least one video processing device, a first image including a plurality of reference pixels and is associated with at least one brightness direction; for each of the plurality of reference pixels, obtaining, by the at least one video processing device, a reference brightness value; identifying, by the at least one video processing device, a target brightness direction from the at least one brightness direction; for each of the plurality of reference pixels, determining a brightness enhancement multiplier for the reference pixel based on the plurality of reference brightness values and locations of the plurality of reference pixels along the target brightness direction of the first image; and modifying, by the at least one video processing device, brightness of the first image at least based on the brightness enhancement multipliers.

Abstract: A system and method for measuring three-dimensional (3D) coordinates is provided. The method includes rotating a 3D scanner about a first axis, the 3D scanner having a light source, a light receiver and a color camera. A light beams are emitted from the light source and reflected light beams are received with the light receiver. A processor determines 3D coordinates of points on the object based on the emitted light beams and the reflected light beams. For each of the points an intensity value is measured based on the reflected light beams. A color image of the object is acquired with the color camera. The intensity values are fused with the color image to generate an enhanced image, the enhanced image includes color data. Color data is merged with the 3D coordinates of the points. The 3D coordinates of the points are stored with the color data.

Abstract: To enable a receiving side to appropriately perform processing of obtaining display image data from transmission video data having a predetermined photoelectric conversion characteristic. Input video data is processing and transmission video data having a predetermined photoelectric conversion characteristic is obtained. Encoding processing is applied to the transmission video data and a video stream is obtained. A container of a predetermined format, including the video stream, is transmitted. Information indicating a photoelectric conversion of the input video data is inserted into the video stream and/or the container.

Abstract: An image processing method and apparatus. The method includes: obtaining a source image; determining spot superposition positions according to pixel brightness values of the source image, where brightness values of pixels of the source image that are located in the spot superposition positions are greater than a preset first threshold; and blurring the source image, and performing, in the spot superposition positions of a blurred image, image fusion on the blurred image and spot images to obtain a processed image, where the spot superposition positions and the spot images fused with in the spot superposition positions are in a one-to-one correspondence.

Abstract: A display controller includes: an upper limit luminance value acquisition unit configured to acquire, for pixels of display devices, an upper limit luminance value of an absolute luminance value; a set luminance value setting unit configured to set a set luminance value so that the set luminance value is smaller than a maximum value among the upper limit luminance values; an input luminance value acquisition unit configured to acquire an input luminance value based on input data; an output gradation value generation unit configured to generate an output gradation value based on the input luminance value and the set luminance value; and an output controller configured to output the generated output gradation value, wherein the output gradation value generation unit is further configured to generate the output gradation value so that an output luminance value is equal to or smaller than the set luminance value.

Abstract: An information processing apparatus including one or more processors that calculate a degree of polarization on the basis of polarization information in each of multiple directions, which is detected from a target region including a region through which polarized light passes, and extract a region in which an object is present on the basis of the degree of polarization.

Abstract: The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.

Abstract: A processing method, which includes receiving a photographing instruction in order to trigger a camera to photograph a target document, identifying four sides of a document image corresponding to the target document, determining a first included angle corresponding to the document image, where the first included angle represents an inclination degree of the document image relative to the target document, triggering the camera to reset a focus location in a direction of far-end content in the document image, and taking n pictures when the first included angle is greater than a preset threshold, applying geometric correction to the pictures obtained through photographing, outputting one of the pictures to which geometric correction has been applied. Hence, the method significantly increase definition of the far-end content in the document image, and improve correction quality of the document image.

Abstract: A mask substrate inspection system includes a measurement target module, a camera module, and a control module. The measurement target module includes a mask substrate and a surface light source supplying a light to the mask substrate. The camera module generates image information of the mask substrate using the light from the surface light source. The control module determines whether defects are present in the mask substrate using the image information, without damaging the mask substrate.

Abstract: To solve the above problem, a monitoring apparatus according to an embodiment of the present invention comprises: a communication unit for receiving an original image acquired by a camera; a storage unit for storing the original image; a screen unit for displaying the original image and a corrected image obtained by dewarping the original image; and a control unit for controlling operations of the communication unit, the storage unit, and the screen unit, wherein the screen unit displays an icon in a dewarping area of the original image where the corrected image is obtained by dewarping the original image, indicates that the dewarping area is selected when the icon located in the dewarping area is selected, and displays a polygon representing the selected dewarping area.

Abstract: A method for determining an optimality coefficient includes receiving an image including a plurality of pixels. A characteristic function is selected for analyzing the received image. Distribution of the plurality of pixels of the received image is analyzed using the selected characteristic function. The analyzed distribution of the plurality of pixels is compared with a normal probability distribution function. An optimality coefficient value for the received image is generated based on the results of the comparison.

Abstract: An image processing device includes a signal processing device, and the signal processing device is configured to perform distance determination processing of determining, based on a depth map concerning an image displayed on a display, an image portion inside a target distance range which is a predetermined distance range in the image, and an image portion outside the target distance range, and perform image processing of subjecting at least the image portion outside the target distance range to image processing of monotonizing visibility based on a determination result of the distance determination processing and displaying the image on the display.

Abstract: The present disclosure is directed toward systems and methods for predicting lighting conditions. In particular, the systems and methods described herein analyze a single low-dynamic range digital image to estimate a set of high-dynamic range lighting conditions associated with the single low-dynamic range lighting digital image. Additionally, the systems and methods described herein train a convolutional neural network to extrapolate lighting conditions from a digital image. The systems and methods also augment low-dynamic range information from the single low-dynamic range digital image by using a sky model algorithm to predict high-dynamic range lighting conditions.

Abstract: A video processing system is provided for reducing distortion in video signals. The system includes a first transfer function that applies a transfer function to a received video signal to generate a gamma corrected video signal in a first color space; and a first matrix component that transforms the gamma corrected video signal in the first color space to a gamma corrected signal in a second color space, and extracts a luminance component from the gamma corrected signal in the second color space. Moreover, the system includes a second transfer function that generates a gamma corrected downsampled video signal in the first color space, and a second matrix component that transforms the gamma corrected video signal in the first color space to a gamma corrected video signal in the second color space, and extracts the chroma component in the second color space.

Abstract: Provided is an apparatus and method that perform display control to avoid a blackout of a display unit at the time of capturing an image for recording. The apparatus includes an imaging element, a frame memory, a display unit, and a control unit, and the control unit starts exposure preparation processing of the image for recording in response to input detection of image-capturing operation on the imaging apparatus, and executes exposure processing of the image for recording in the imaging element and storage processing of the image for recording in the frame memory after completion of the exposure preparation processing. Moreover, the control unit stops exposure of an image for displaying of the imaging element with the start of the exposure preparation processing, and displays the image for displaying on the display unit until display of the image for recording is enabled, to avoid the blackout.

Abstract: An imaging element which outputs an image signal acquired by an imaging unit having a plurality of pixel portions is provided. The imaging element receives a target luminance value from an imaging device and executes exposure control in the imaging element on the basis of an accumulation time of the pixel portion and a gain for an output signal of the imaging unit, which correspond to the target luminance value. The imaging element instructs the imaging device to perform exposure control if a luminance value of a subject exceeds an exposure control range in the imaging element.

Abstract: The image data display system according to the present invention makes it possible to comprehend a global distribution of measurement values and a change in details of the measurement values simultaneously. In the present invention, a color information conversion unit converts the measurement values to color information for representing the global distribution of the measurement values. A detail extraction unit extracts detail information of the measurement values from the measurement values. A detail adjustment unit adjusts the strength of detail information and generates adjusted detail information. A color information adding unit adds color information on the basis of the adjusted detail information.

Abstract: An image processing apparatus and method for a high dynamic range effect includes a conversion circuit, a specular detection circuit, and a blending circuit. The conversion circuit converts first pixel data of the current pixel of a current frame to a second pixel data, wherein a luminance of the second pixel data is lower than a luminance of the first pixel data. The specular detection circuit detects a specular degree of the current frame to produce a specular map, wherein the specular map includes a specular degree value of a current pixel. The blending circuit blends the first pixel data and the second pixel data according to the specular degree value of the current pixel to obtain blended pixel data of the current pixel.

Abstract: A method of converting a wide dynamic range (WDR) image to a low dynamic range (LDR) image have the steps of: (i) obtaining a transfer function that has a plurality of sub-functions, each sub-function corresponding to a non-overlapped input interval of the dynamic range of the WDR image; (ii) determining the intensity of each pixel of the LDR image by using the transfer function and at least the intensity value of the corresponding pixel of the WDR image; and (iii) outputting the LDR image.

Abstract: The controller of the image reading apparatus acquires second reference data indicating a reading value of a background plate by causing the reading unit to read the background plate during a non-document-reading period between a document-reading period and a document-reading period, calculates a first difference indicating a difference between a value in a first pixel range corresponding to an element group, among the plurality of photoelectric conversion elements, in a range under temperature influence by a given heat generation source and a value in a second pixel range, that is, part of a pixel range which does not fall under the first pixel range with respect to the second reference data, and updates, when the first difference exceeds a first allowable value, the first reference data by correcting a value in the first pixel range of the first reference data based on the first difference.

Abstract: Given a standard-dynamic range (SDR) video input, techniques for generating and compressing composer metadata describing inverse luma and chroma reshaping functions are described. Given the SDR input, the composer metadata allow a decoder to generate a corresponding output in high-dynamic range. Three techniques are proposed: a static, sequence-based, architecture, a two-stage, scene-based, distributed solution with a centralized post-processing method, and a single-stage distributed solution using overlapped segments. Techniques to reduce the amount of transmitted composer metadata are also described.

Abstract: Systems and methods are provided for characterizing a ply of fiber having a thermoplastic veil. One method includes acquiring an image of a fiber material comprising strands of fiber and further comprising a veil of filaments of thermoplastic, subdividing the image into slices, determining an amount of melted filaments depicted within each of the slices, and determining an amount of unmelted filaments depicted within each of the slices.

Abstract: A method for removing haze from an image is provided. The image is converted to S(x) and V(x), the S(X) is saturation component of the image, and the V(x) is value component of the image. The S(x) is filtered to obtain S?(x), and the V(x) is filtered to obtain V?(x). A depth d(x) is estimated by calculating a difference between the S?(x) and V?(x). Once a transmission map t(x) is calculated based on the d(x), haze is removed from the image based on the transmission map t(x).

Abstract: A parameter obtaining circuit obtains a color saturation parameter which determines a degree of adjustment of color saturation of a captured image. A correction parameter calculation circuit calculates a color saturation level correction parameter which determines a degree of saturation level correction processing based on the color saturation parameter and a position of a pixel included in the captured image. A correction processing circuit performs the color saturation level correction processing on the captured image in accordance with the color saturation level correction parameter.