Abstract: The present invention provides a method and a device for coding and decoding at least a part of an image comprising a plurality of samples, each sample comprising at least two components, and the encoded image comprising at least one filtering parameter. The filtering comprises using at least one filtering parameter as a common filtering parameter for filtering both the first component and the second component of a reconstructed sample.

Abstract: A method includes capturing multiple ambient images of a scene using at least one camera of an electronic device and without using a flash of the electronic device. The method also includes capturing multiple flash images of the scene using the at least one camera of the electronic device and during firing of a pilot flash sequence using the flash. The method further includes analyzing multiple pairs of images to estimate exposure differences obtained using the flash, where each pair of images includes one of the ambient images and one of the flash images that are both captured using a common camera exposure and where different pairs of images are captured using different camera exposures. In addition, the method includes determining a flash strength for the scene based on the estimate of the exposure differences and firing the flash based on the determined flash strength.

Abstract: In order to provide a more preferable white balance adjustment, an image processing apparatus obtains an input image, determines a representative point in the input image and a white balance coefficient of the representative point, obtains first information representing the inclination of a surface that includes the representative point and second information representing the inclination of a surface that includes a pixel of interest in the input image, and adjusts white balance of the pixel of interest based on the first information, the second information, and the white balance coefficient.

Abstract: A semiconductor device including an image sensor device controlled by an adjusting circuit, and the adjusting circuit configured to transmit a control signal to the image sensor device to be controlled according to a transmission cycle synchronized with a reference clock, the image sensor device includes a first period during which the control signal is allowed to be supplied to the image sensor device to be controlled and a second period during which the supplying of the control signal to the image sensor device to be controlled is not preferable compared to that in the first period, the adjusting circuit is configured to, when a transmission timing of the control signal determined according to the transmission cycle is within the second period, adjust the transmission timing of the control signal so that the control signal will be transmitted in the first period to the image sensor device.

Abstract: A method, system and computer program are provided that present a real-time approach to Chromaticity maximization to be used in image segmentation. The ambient illuminant in a scene may be first approximated. The input image may then be preprocessed to remove the impact of the illuminant, and approximate an ambient white light source instead. The resultant image is then choma-maximized. The result is an adaptive Chromaticity maximization algorithm capable of adapting to a wide dynamic range of illuminations. A segmentation algorithm is put in place as well that takes advantage of such an approach. This approach also has applications in HDR photography and real-time HDR video.

Abstract: According to one embodiment, an image processing device includes a detection circuit configured to detect a luminance range for each of a plurality of images captured with a different exposure time, a white balance processing circuit configured to separately perform white balance processing for each of the images based on the detected luminance range, and an image synthesis circuit configured to generate a synthetic image from the images in which the white balance processing is separately performed.

Abstract: An image processing circuit includes a gain calculation circuit and a digital amplifier. The gain calculation circuit calculates a first gain with which an average color-difference value in a whole region of a pickup image is brought close to a predetermined convergent point. The digital amplifier performs correction of a white balance of a pixel of the pickup image with a candidate pixel that is of a first candidate pixel calculated based on the first gain and a second candidate pixel calculated based on a second gain associated with each of divided regions and in which a color-difference component is closer to the predetermined convergent point.

Abstract: A disclosed imaging device includes a plurality of pixels arranged over a plurality of rows and a plurality of columns. Each of the plurality of pixels includes a first photoelectric conversion unit, a second photoelectric conversion unit, a third photoelectric conversion unit, a microlens that collects light into the first photoelectric conversion unit, the second photoelectric conversion unit, and the third photoelectric conversion unit, a first color filter through which a light entering the first photoelectric conversion unit passes, a second color filter through which a light entering the second photoelectric conversion unit passes, and a third color filter through which a light entering the third photoelectric conversion unit passes. The first to third photoelectric conversion units are arranged in this order in a first direction, and transmittances of the first color filter and the third color filter are different from a transmittance of the second color filter.

Abstract: A moving picture photographing apparatus having dual camera includes a first camera configured to capture images, a second camera configured to capture images, and a controller configured to cause the first camera to capture a motion picture, generate final correction information based on an image received via the second camera, and cause the first camera to adjust capture of the motion picture based on the final correction information.

Abstract: An image processing apparatus comprises an acquisition unit that acquires images of a plurality of continuous frames obtained by shooting a subject; and a synthesis unit which generates a second image by performing lighten composite on first images of a plurality of continuous frames acquired with a first exposure amount out of the plurality of frames of images, acquires a fourth image by performing gain processing on a third image acquired with a second exposure amount which is lower than the first exposure amount so that the fourth image has a same exposure level as the first images, and generates a composite image showing a trail of the subject by performing lighten composite on a difference image, obtained by subtracting the fourth image from the second image, and the third image.

Abstract: A method and device for acquiring an image, a terminal and a computer-readable storage medium are provided. The method includes: acquiring gyroscope data from the gyroscope while acquiring images by the camera component; obtaining a current scene for each acquired image and determining whether the current scene includes an indoor scene or an outdoor scene based on each acquired image; and determining whether to perform optical anti-shake processing on each acquired image based on the acquired gyroscope data based on whether the current scene includes the indoor scene. With the method and device for acquiring an image, the quality of the captured video image can be enhanced.

Abstract: Media user interfaces are described, including user interfaces for capturing media (e.g., capturing a photo, recording a video), displaying media (e.g., displaying a photo, playing a video), editing media (e.g., modifying a photo, modifying a video), accessing media controls or settings (e.g., accessing controls or settings to capture photos or videos to capture videos), and automatically adjusting media (e.g., automatically modifying a photo, automatically modifying a video).

Abstract: Disclosed are an electronic apparatus that achieves both the convenience of touch operation and accurate position specification, and a method for controlling the same. When an area that meets a predetermined condition has been detected in an image, the electronic apparatus executes a function corresponding to a position where a touch has been detected by touch detection means. When the area that meets the predetermined condition has not been detected or area detection is not carried out, the electronic apparatus carries out a process corresponding to an operation for moving a touched position rather than carrying out processing corresponding to the position where the touch has been detected by the touch detection means.

Abstract: The present disclosure provides a method and a device for adjusting color temperature of a screen, and an electronic device. The method includes: obtaining multiple groups of adjustment parameters corresponding to multiple adjustment operations on initial color temperature of a screen; performing calculation on the multiple groups of adjustment parameters according to a preset algorithm, to obtain an average color temperature difference; and calculating preference color temperature based on the initial color temperature and the average color temperature difference to obtain, and setting the color temperature of the screen of the user according to the preference color temperature.

Abstract: A continuous quality control device for containers in a roto-revolutionary movement consists of making said containers pass in front of lighting means, capturing by at least one single sequential image capturing device each of said containers in rotation, obtaining an optical reconstruction of said containers and controlling their quality according to said optical reconstruction, characterised in that said lighting means is equipped with stroboscopic control means that allows the illumination of said containers in counterphase from at least two different angles of incidence and the capturing of at least two overlapping images in the same angular rotation position of said container in its own housing with respect to said image capturing device.

Abstract: A system, including a processor in a vehicle and a memory, the memory including instructions to be executed by the processor to acquire a color image wherein a portion of the color image includes a color calibration pattern and operate the vehicle based on determining an illumination invariant image based on the color image and transform parameters ?v and ?r based on the color calibration pattern.

Abstract: A method and system. A base photographic image of a scene is combined with N additional photographic images of the scene to form a composite image including M discrete light sources (N?2; M?N). The scene in the base image is exposed to ambient light. The scene of the base image is exposed, in each of the N additional images, to the ambient light and to at least one discrete light source to which the base image is not exposed. The M discrete light sources in the composite image include the discrete light sources to which the scene is exposed in the N additional images. The composite image includes a region surrounding each discrete light source and has an area that correlates with an intensity of light from the discrete light source surrounded by the region. The intensity of light is the intensity at the discrete light source where the light is emitted.

Abstract: An electronic device may have a main display and an ancillary display that forms a dynamic function row. The device may also have a backlit keyboard with glyphs. The keyboard may have light-emitting diodes that emit backlight illumination. The backlight illumination has a backlight illumination color and intensity. A color ambient light sensor may measure ambient light color and intensity. Control circuitry in the laptop computer may make white point adjustments to the main and ancillary displays. White point adjustments may be made based on factors such as the backlight illumination intensity, information on the nominal white point of a display (which may be comparable to the color of the backlight illumination), information on the ambient light color and intensity, and a white point adaptation scaling factor.

Abstract: A method, system, and article is directed to camera control and image processing with a multi-frame-based window for image data statistics.

Abstract: An imaging device further includes a correction gain calculating unit configured to calculate a first correction gain of a first partial image captured by the first imaging element and calculate a second correction gain of a second partial image captured by the second imaging element based on the first exposure amount and the second exposure amount; a photographing processing unit configured to make an imaging element having a smaller one of the first exposure amount and the second exposure amount image with an exposure amount of the imaging element and makes an imaging element having a larger one of the first exposure amount and the second exposure amount image with the third exposure amount; and an image correction unit configured to correct the first partial image with the first correction gain and correct the second partial image with the second correction gain calculated by the correction gain calculating unit.

Abstract: The present disclosure relates to an imaging device and a control method that achieve low electric power consumption. A light source is of a wavelength received by an OPD pixel which is a pixel that detects light exposure, and its light emission is controlled by a PC or the like. The OPD pixel is a pixel specialized to detect a brightness of an imaging environment, and converts a received light amount to a current value, without electric power consumption, by utilizing photoelectric conversion. A detector detects a change (light intensity, light reception time, blinking pattern, etc.) of the current value of the OPD pixel, and upon detection, issues an operation instruction to another device (not depicted) or a solid state imaging device, by supplying a detection result to a control unit. The present disclosure can be applied to the solid state imaging device that includes the OPD pixel, for example.

Abstract: A method of determining a position of a focus lens includes the steps of detecting luminance values corresponding to a plurality of imaging elements which detect light via a focus lens while moving the focus lens, calculating a contrast value for evaluation of a focused state of a subject image on the basis of the detected luminance values corresponding to the imaging elements, specifying the largest luminance value in the detected luminance values corresponding to the imaging elements, specifying a range in which the largest luminance value is not less than a value which is determined in advance in a moving range of the focus lens and determining the position of the focus lens on the basis of the contrast value in the specified range of the position of the focus lens.

Abstract: An input media signal encoded with a portion of image data to be rendered with a target display device is received. It is determined, based on the portion of image data, whether a first power profile is to be applied to rendering the portion of image data with the target display device. In response to determining, based on the portion of image data, that the first power profile is not to be applied to rendering the portion of image data with the target display device, a second power profile is applied to rendering the portion of image data with the target display device.

Abstract: A method, a system, a mobile terminal for adjusting focal length of the camera includes monitoring, by the proximity sensor arranged on multi-functional keys of a side of the mobile terminal, movement direction, movement distance, and movement time of fingers in real-time, and uploading the movement direction, the movement distance, and the movement time to an application processor of the camera. An application processor of the camera provides analyzed data of the movement direction, the movement distance, and the movement time, and adjusts the focal length of the camera according to a result of the analyzed data.

Abstract: Apparatus, including a camera which has an objective lens configured to focus light from an object, and an imaging array configured to receive the focused light and in response thereto, to output a signal representative of an image of the object. The apparatus further includes a multiplicity of illuminators arrayed around the objective lens and configured to illuminate the object, and a processor which is coupled to differentially adjust respective light intensities emitted by the illuminators responsively to the signal.

Abstract: An imaging element captures an optical image incident through an imaging lens. A finder device is configured to be capable of observing the optical image. An EVFLCD displays information to be observable in a state of being overlapped on or being close to the optical image, in the finder device. An EVF display controller controls the EVFLCD so that target color temperature information indicating a color temperature that is a target of color temperature adjustment and image color temperature information indicating a color temperature of the captured image are displayed as the information. A color temperature adjustment unit adjusts the color temperature of the captured image obtained by capturing the optical image using the imaging element based on a color temperature adjustment operation. In a case where the color temperature adjustment operation is performed, the image color temperature information is changed in accordance with an adjustment operation amount.

Abstract: A disclosed imaging device includes an imaging element that includes a plurality of pixels including a plurality of first pixels each of which outputs a signal including color information and a plurality of second pixels each of which has higher sensitivity than the first pixels, and a signal processing unit that processes a signal output from the imaging element. The signal processing unit includes a luminance signal processing unit that generates luminance values of the first pixels based on signals output from the second pixels and a false color determination unit that determines a presence or absence of false color based on a result of comparison between the luminance values of the first pixels generated by the luminance signal processing unit and a predetermined threshold value.

Abstract: A system for performing image processing determines one or more conditions of an imaging device positioned on an aerial vehicle or another mobile platform. Exemplary conditions include one or more of an ambient condition or a scenery content. The ambient condition is determined via devices available on the mobile platform. The scenery content is obtained via the devices and preloaded local data. Based upon the determined conditions, an appropriate operation mode of the imaging device is selected from among multiple operation modes of the imaging device. These operation modes are categorized, for example, based on a set of predetermined condition categories.

Abstract: A system and a method for detecting light sources in a multi-illuminated environment using a composite red-green-blue-infrared (RGB-IR) sensor is provided. The method comprises detecting, by the composite RGB-IR sensor, a multi-illuminant area using a visible raw image and a near-infrared (NIR) raw image of a composite RGBIR image, dividing each of the visible raw image and the NIR raw image into a plurality of grid samples, extracting a plurality of illuminant features based on a green/NIR pixel ratio and a blue/NIR pixel ratio, estimating at least one illuminant feature for each grid sample by passing each grid sample through a convolution neural network (CNN) module using the extracted plurality of illuminant features, and smoothing each grid sample based on the estimated at least one illuminant feature.

Abstract: A method, a system, and a computer program product for applying a white balance correction to an image data captured by a camera sensor based on a current level of ambient color. The method includes capturing, via a camera sensor, image data of a scene. The method further includes contemporaneously measuring, via a light color sensor, an amount of ambient color. The method further includes calculating a determinant value that represents a magnitude of variance of colors in the scene. The method further includes in response to determining the determinant value is less than a determinant threshold: generating a white balance correction based at least in part on the measured amount of ambient color and applying the white balance correction to the image data to generate a corrected image data having colors that more accurately represent colors in the current scene.

Abstract: A method and device for processing white balance of an image, and storage medium are provided. The method includes that: a first gain of an image is calculated according to a Face Automatic White Balance (FaceAWB) algorithm configured to regulate a face in the image to a skin color; a second gain for the image is calculated according to a simple gray world algorithm; whether the first gain is similar to the second gain is determined; and responsive to a determination that the first gain is similar to the second gain, white balance processing is performed on the image according to the second gain, and responsive to a determination that the first gain is not similar to the second gain, white balance processing is performed on the image according to the first gain.

Abstract: This disclosure is directed to monitoring exposure levels for individual cameras of a stereo camera system to reduce unwanted lens flaring which may disrupt stereo vision capabilities of an unmanned aerial vehicle (UAV). The UAV may identify lens flaring by monitoring histogram data received from the cameras and then mitigate the lens flaring by performing aerial maneuvers with respect to the light source and/or moving camera componentry such as deploying a lens hood. The UAV may also identify lens flaring patterns that on a camera's sensor and determine a location of a peripheral light source based on these patterns. The UAV may then deploy a visor between the location of the peripheral light source and the cameras.

Abstract: A navigation system may include at least one processing device configured to determine, based on an output of one or more position sensors associated with the navigation system, a current location of at least one component associated with the navigation system and determine a destination location different from the current location. The navigation system may also acquire, from one or more image acquisition devices, a plurality of images representative of an environment of a user of the navigation system and derive, from the plurality of images, visual information associated with at least one object in the environment. The system may also determine one or more instructions for navigating from the current location to the destination location, wherein the one or more instructions include at least one reference to the visual information derived from the plurality of images. The system may also deliver to the user the one or more instructions.

Abstract: Matching color information in an optical system can include splitting an image forming beam into a bright intensity beam and a dark intensity beam, detecting, using multiple sensors, a color value for a light component from the bright intensity beam and the dark intensity beam, determining color values for the remaining light components associated with the bright intensity beam and the dark intensity beam, and transforming the color values associated with the dark intensity beam to calibrate the color values of the dark intensity beam against the color values of the light intensity beam, the color values of the light intensity beam including color inaccuracies.

Abstract: To provide an image adjusting device and image display device which can automatically optimally change display image quality settings on the display side based on settings by the user who prepares the image contents, and implement an automatic slide show, as well as an image adjusting method, and a program for image adjustment. An image quality adjusting device for adjusting an image quality of a plurality of images sequentially displayed by a slide show, comprising an adjusting means which adjusts on image by image basis the image quality when displaying the plurality of images, based on information which respectively coordinates image data respectively corresponding to an individual image included in the plurality of images.

Abstract: The present disclosure relates to systems and methods for identifying products in retail stores based on analysis of image data and for automatically generating performance indicators relating to the identified products. In one implementation, the system may include a processor configured to receive a first set of images depicting a first plurality of products associated with single product type displayed on a first shelving unit in a retail store; analyze the first set of images to determine first product turnover data associated with the first shelving unit; receive a second set of images depicting a second plurality of products also associated with the single product type displayed on a second shelving unit in the retail store nonadjacent to the first shelving unit; and analyze the second set of images to determine second product turnover data associated with the second shelving unit.

Abstract: The disclosure concerns estimating an illumination spectrum of a pixel of hyperspectral or multispectral image data. A processor determines an optimised illumination spectrum for a first point based on an initial illumination spectrum and based on associations between the first point and multiple second points of multiple instances of the image data, wherein each of the multiple instances is associated with a refined amount of image information. It is possible to determine the illumination spectrum per pixel of the original image data without clustering pixels or restrictive assumptions but instead by utilising the associations for the statistical inference on the illumination spectrum.

Abstract: An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

Abstract: A non-emission image is obtained by a non-emission image obtaining unit in a state in which a plurality of flash devices do not emit light. Pre-emission images are obtained by an emission image obtaining unit in a state in which the plurality of flash devices individually emits light. Flash light irradiation areas are specified by a flash light irradiation area specifying unit based on a signal value difference of a plurality of division areas of the non-emission image and each of the emission images. A priority flash device selecting unit selects a priority flash device as a target of white balance (WB) adjustment. A WB adjusting unit performs WB adjustment based on signal values of irradiation areas of the selected priority flash device.

Abstract: The image processing apparatus includes a shading estimation unit estimating a shading intensity of an image, a light source color estimation unit setting an achromatic color determination range corresponding to the estimated shading intensity, as a color space, a correction coefficient calculating unit calculating a white balance gain, and an image signal processing circuit correcting a white balance.

Abstract: An image processing method is provided. The image processing method includes: each frame of image in multiple continuous frames of images is processed to determine a number of light sources of each frame of image; it is determined whether a difference between a number of light sources of a kth frame of image and a number of light sources of a (k+1)th frame of image is equal to 0; and when the difference is unequal to 0, a color temperature of the (k+1)th frame of image is determined to be a color temperature of the kth frame of image and the (k+1)th frame of image is processed according to the color temperature of the (k+1)th frame of image. An image processing device, a computer-readable storage medium and a computer device are further provided.

Abstract: Systems and methods are provided for the denoising of images in the presence of broadband noise based on the detection and/or estimation of in-band noise. According to various example embodiments, an estimate of broadband noise that lies within the imaging band is made by detecting or characterizing the out-of-band noise that lies outside of the imaging band. This estimated in-band noise may be employed for denoise the detected imaging waveform. According to other example embodiments, a reference receive circuit that is sensitive to noise within the imaging band, but is isolated from the imaging energy, may be employed to detect and/or characterize the noise within the imaging band. The estimated reference noise may be employed to denoise the detected in-band imaging waveform.

Abstract: An embodiment of a semiconductor package apparatus may include technology to determine first scene chromaticity information for a frame of a video sequence, determine second scene chromaticity information for another frame of the video sequence, determine a scene content change based on the first and second scene chromaticity information, and determine a global illumination change based on the first and second scene chromaticity information. Other embodiments are disclosed and claimed.

Abstract: The present disclosure provides a method for measuring an ambient brightness value, including: obtaining an exposure value of a photographing device during an automatic exposure process and an image brightness value corresponding to the exposure value; and determining an ambient brightness value based on the exposure value, the image brightness value, and an automatic exposure enhancement coefficient of the photographing device.

Abstract: A light source device for calibrating an image sensor is provided. The light source device includes a light source unit for outputting light, a transform filter unit for controlling a color temperature according to a wavelength of the light received from the light source unit, and a plurality of diffusion plates for controlling a ratio of long-wavelength light to short-wavelength light, the long-wavelength light and the short-wavelength light being output from the light source unit.

Abstract: A method for processing image and video data, comprising providing high dynamic range image data (HDR) and a corresponding low dynamic range image data (LDR). The LDR image is encoded in a legacy code stream, while a residual code stream is generated and encoded containing data necessary for the reconstruction of the HDR image in a decoding phase. To generate the residual code stream, LDR image data are processed so as to obtain a processed LDR* image, then a component data of the HDR image and a corresponding component of the processed LDR* image are selected and residual data of the selected component data are calculated by dividing the component of the processed LDR* image data by the component of the HDR image data. The residual data of the selected component are scaled into the range of values comprised between 0 and 1 and are then encoded in a residual code stream. A decoding method is also disclosed which allows reconstruction of an HDR image from a legacy code stream and a residual data code stream.

Abstract: An image capturing apparatus includes: an image capturing section that outputs first captured-image data obtained by capturing an image at a relatively low ISO speed, and second captured-image data obtained by capturing an image at an ISO speed higher than the ISO speed for the first captured-image data; a color analysis circuit that analyzes a display color included in a display image of the first captured-image data; a color correction instructing circuit that gives an instruction to correct a display color of the second captured-image data according to a result of the analysis; and an image generation circuit that corrects the display color of the second captured-image data so as to generate an image to be displayed.

Abstract: A process for authenticating a painting includes determining whether a posterized HSV model of a digital photograph contains one or more steganographic symbols. A process for preparing a painting for authentication, includes providing a digital photograph of the painting in the RGB color model, converting the digital photograph to a CMYK color model, converting the CMYK model of the digital photograph to an HSV color model of the digital photograph and posterizing the HSV model of the digital photograph. A system for preparing a painting for authentication includes a processor and a computer-readable memory component containing a digital photograph of the painting in the RGB color model. The processor is configured to convert the digital photograph to a CMYK color model, convert the CMYK model of the digital photograph to an HSV color model of the digital photograph and posterize the HSV model of the digital photograph.

Abstract: The present invention provides a method and a device for coding and decoding at least a part of an image comprising a plurality of samples, each sample comprising at least two components, and the encoded image comprising at least one filtering parameter. The filtering comprises using at least one filtering parameter as a common filtering parameter for filtering both the first component and the second component of a reconstructed sample.

Abstract: A method of analyzing a set of digital images each having been captured with a digital camera, the method comprising, using at least one processor: a) extracting a camera fingerprint from each image so as to form a set of camera fingerprints, each camera fingerprint being representative of the camera used to capture the image, and being of a first dimension; b) forming a set of dimensionally reduced camera fingerprints from each camera fingerprint, the dimensionally reduced camera fingerprint being of a second dimension smaller than the first dimension; c) forming a first subset of dimensionally reduced camera fingerprints and a second subset of dimensionally reduced camera fingerprints; d) determining a level of similarity between every pairing of the dimensionally reduced camera fingerprints of the first subset; e) determining a level of similarity between every pairing of the dimensionally reduced camera fingerprints of the second subset; f) determining a level of similarity between every pairing of, on th