Abstract: A correction method for a color temperature curve includes: obtaining pixel values of a display device, and the pixel values including at least two first pixel values and second pixel values; obtaining at least two first standard pixel values according to the at least two first pixel values, and a color temperature value corresponding to each first standard pixel value being a standard color temperature value; determining at least one correction interval according to the at least two first standard pixel values and the second pixel values, and a correction interval including two first standard pixel values and at least two second pixel values therebetween; and correcting the at least two second pixel values to obtain at least two second standard pixel values according to the two first standard pixel values, and a color temperature value corresponding to each second standard pixel value being within a preset color temperature range.

Abstract: An image sensing device includes an image sensor including at least one pixel including a plurality of color channels and an image processor for processing an input image, based on brightness intensity values of the plurality of color channels. The image processor includes: a transmission map generator for generating color channel transmission maps including transmission values that are obtained by respectively converting brightness intensity values of the plurality of color channels, and generating a target transmission map including target transmission values that are obtained by multiplying transmission values among the transmission values that correspond to color channels; a white pixel detector for determining target pixels that are included in a white area, based on the target transmission map; and a white balance adjuster for adjusting white balance, based on average brightness intensity values of respective color channels.

Abstract: Disclosed is a control device querying a preset data set to obtain color vision sensitivity information corresponding to acquired identity information of a user of the augmented reality device; the control device judging whether the user is a color recognition disorder patient according to obtained color vision sensitivity information; the control device acquiring a personalized color display mode corresponding to the color vision sensitivity information as a target color display mode when the user is judged as a color recognition disorder patient; and the control device providing the augmented reality device with the target color display mode so that the augmented reality device employs the target color display mode to display an image.

Abstract: An image processing method and corresponding system operate by obtaining a first image and generating a first histogram information based on the first image. The method then obtains a cumulative-distribution-function (CDF) curve according to the first histogram information and generates an adaptive curve according to a high-contrast curve and a low-contrast curve. Finally, the method uses the adaptive curve to adjust the CDF curve to generate a mapping curve, and adjusts the first image by using the mapping curve to generate a second image with contrast enhancement effect.

Abstract: An information processing apparatus is described. This determines a physiological parameter of an individual, the apparatus comprising: image circuitry configured to obtain a series of images of a skin exposed region of the individual; and processing circuitry configured to perform a periodogram on at least one of the red, green and blue channels of the skin exposed region of the series of images to obtain frequency components of the channel; and to determine the physiological parameter based on the periodogram.

Abstract: Impact time between an image sensing circuitry and an object relatively moving at least partially towards, or away from, the image sensing circuitry can be computed. Image data associated with a respective image frame of a sequence (1 . . . N) of image frames sensed by said image sensing circuitry and which image frames are imaging said object can be received. For each one (i) of multiple pixel positions, a respective duration value (f(i)) indicative of a largest duration of consecutively occurring local extreme points in said sequence (1 . . . N) of image frames can be computed. A local extreme point is present in a pixel position (i) when an image data value of the pixel position (i) is a maxima or minima in relation to image data values of those pixel positions that are closest neighbors to said pixel position (i).

Abstract: Global matching of pixel data across multiple images. Pixel values of an input image are modified to better match a reference image with a slope thresholded histogram matching function. Visual artifacts are reduced by avoiding large pixel value modifications. For large intensity variations across the input and reference image, the slope of the mapping function is thresholded. Modification to the input image is therefore limited and a corresponding modification to the reference image is made to improve the image matching. More than two images may be matched by iteratively modifying a cumulative mass function of a reference image to accommodate thresholded modification of multiple input images. A device may include logic to match pixel values across a plurality of image frames generated from a plurality of image sensors on the device. Once matched, image frames may be reliably processed further for pixel correspondence, or otherwise.

Abstract: An image processing apparatus which corrects color balance of an image in image data captured by an image capturing apparatus having a color balance correction function, the apparatus comprises a light source estimation unit configured to estimate a capturing light source of the image based on a color value of an object; a first color conversion unit configured to perform first color conversion of converting, based on the capturing light source and the color value, the image into an image in which color balance correction applied depending on the image capturing apparatus that has captured the image data containing the image is weakened; and a second color conversion unit configured to perform second color conversion for the image having undergone the first color conversion, by using an adaptation rate corresponding to a color value defined based on chromatic adaptation of a man under the capturing light source.

Abstract: Signal detection adaptable to accommodate various lighting conditions, and to embedding signals according to anticipated lighting conditions likely to be present during image capture. One claim recites a method comprising: obtaining data representing picture elements of imagery or video, the imagery or video having been captured with a camera; obtaining lighting information associated with image capture of the imagery or video; based on the lighting information, adapting a detection process, in which the detection process is adapted by applying different weightings to different color channels for detection, the different weightings being associated with the lighting information; using a programmed electronic processor, analyzing the data to determine whether auxiliary data is encoded therein, said act of analyzing utilizes the adapted detection process. Of course, different combinations and claims are provided too.

Abstract: An image processing device includes a color temperature estimating unit configured to estimate a color temperature of a light source in imaging, a white balance adjusting unit configured to perform first white balance adjustment in which white balance of an image signal is adjusted on the basis of the estimated color temperature when the estimated color temperature is within a predetermined color temperature range, and perform second white balance adjustment in which the white balance of the image signal is adjusted on the basis of the estimated color temperature even when the estimated color temperature is not within the predetermined color temperature range, and a color region extracting unit configured to extract a color region of a specific color by using the image signal to which the second white balance adjustment is applied.

Abstract: The disclosed subject matter includes an apparatus configured to remove a shading effect from an image. The apparatus can include one or more interfaces configured to provide communication with an imaging module that is configured to capture the image, and a processor, in communication with the one or more interfaces, configured to run a module stored in memory. The module is configured to receive the image captured by the imaging module under a first lighting spectrum, receive a per-unit correction mesh for adjusting images captured by the imaging module under a second lighting spectrum, determine a correction mesh for the image captured under the first lighting spectrum based on the per-unit correction mesh for the second lighting spectrum, and operate the correction mesh on the image to remove the shading effect from the image.

Abstract: A system for acquiring digital images for a device having an integrated camera includes an Application Program Interface (API). The API is adapted to receive preprocessing and other instructions from a discrete application operating on the device. The API is also adapted to process multiple image capture requests using a pipeline configuration.

Abstract: An image apparatus (10) for providing an estimated final illuminant of a scene (12) and subsequently providing an adjusted image (218) of a scene (12) includes a capturing system (226) and a control system (232). The capturing system (226) captures information for an input image (416) of the scene (12) while at an apparatus setting. The input image (416) is defined by a plurality of input colors. The control system (226) can compare at least one of the input colors to an illuminant database (245) that includes an illuminant gamut of observable colors for a plurality of possible illuminants, and can evaluate the apparatus setting to select one of the possible illuminants to be the estimated final illuminant. Examples of possible apparatus settings include an aperture size and an exposure time. With this design, the present invention is better able to distinguish between some possible outdoor illuminants and some possible indoor illuminants with improved accuracy.

Abstract: The purpose of the present invention is to provide sophisticated AWB technologies. According to one aspect of the present invention, there is provided a technology for adjusting a white balance of a frame of image data including a plurality of color elements. This technology is characterized by comprising: dividing the frame into a plurality of blocks including a plurality of pixel data; judging, for each of all of or a part of the blocks, whether the block is likely to be grey or not, and; deciding gains for adjusting a white balance using the blocks judged as being likely to be grey.

Abstract: A light-emitting apparatus and a camera system including the same are disclosed. According to an aspect of the invention, a camera system is provided that includes a light source color detector for detecting a color temperature of a light source; an auxiliary light apparatus for changing a color temperature of auxiliary light according to the detected color temperature of the light source; and a white balance controller for adjusting white balance while the auxiliary light is being radiated. Accordingly, a photograph having a natural color sense can be reproduced by reducing a sense of color incongruity in a captured image.

Abstract: A method and an apparatus are provided for processing an image of an image signal projected through a digital camera lens. The apparatus includes an image sensor module to transform an optical signal projected through the digital camera lens into an electric signal, to generate and output an image signal. The apparatus includes a light receiving module to receive a light source, wherein the light receiving module is disposed close to the image sensor module. The apparatus also includes a light source characteristic detector to detect a frequency of the light source received by the light receiving module. The apparatus further includes an auto color adjustment controller to identify a kind of light source based on the frequency of the light source, and control a white balance gain of the image signal based on the kind of the light source.

Abstract: A flare determination apparatus includes an image input unit inputting an image, an image correction unit correcting the image using a correction coefficient to be set based on a gain value for white balance processing depending on a light source type, a region detection unit detecting a region included in a predetermined color component range from the image being corrected by the image correction unit, and a determination unit determining whether or not a flare is generated in the region being detected by the region detection unit.

Abstract: A color display has continuous areas of a single color covering a plurality of sub-pixel electrodes. Each sub-pixel of a given color has sub-pixels of the same given color disposed along at least two of its adjacent edges. Each area of a single color may cover a 2×2 array of sub-pixel electrodes. The colors used may be red/green/blue/white (RGBW), red/green/blue/yellow (RGBY), or orange/lime/purple/white.

Abstract: The image processing apparatus includes a gradient calculating part calculating intensity gradient at each pixel in a captured color image, a first color blur determining part determining that a pixel at which the intensity gradient satisfies a color blur condition using a first threshold is a possible color blur pixel, and a second color blur determining part detecting a saturated pixel in the color image, and determining, when a distance between the saturated pixel and the possible color blur pixel is within a second threshold, that the possible color blur pixel is a color blur pixel. The first and second color blur determining parts change the first and second thresholds depending on at least one of luminance and chroma of the possible color blur pixel.

Abstract: There is provided a television camera that can automatically adjust a detected video signal balance without using a grayscale chart in order to satisfactorily capture a subject. The television camera adjusts the detected video signal balance by using a white (achromatic) subject and without using the grayscale chart. The television camera firstly captures a white (achromatic) subject. The television camera detects a level of a G signal on a detection gate, and sequentially and automatically adjusts a lens iris in order that the level of the G signal becomes a predetermined signal level (level 71, level 72, level 73, level 74). For each signal level (level 71, level 72, level 73, level 74), the television camera aligns signal levels of R signal and B signal with respect to the G signal, thereby automatically adjusting the detected video signal balance.

Abstract: A method of white balancing an image includes mapping pixels of the image to a color space diagram. Each of the pixels of the image include a red (“R”), a green (“G”), and a blue (“B”) subvalue. A first central tendency of each of the RGB subvalues of pixels mapped in a first pre-defined region of the color space diagram is determined and a second central tendency of each of the RGB subvalues of pixels mapped in a second pre-defined region of the color space diagram is determined. The first pre-defined region is associated with a first illuminating source and the second pre-defined region is associated with a second illuminating source. RGB values of a white pixel are generated based on the first and second central tendencies.

Abstract: An imaging device is configured to include an optical system which captures an image of a subject, an image sensor which converts the image captured by the optical system into an electric signal, a classifying unit which classifies the captured image into a plurality of areas according to brightness information and color information, a white balance correcting unit which set different white balance correction coefficients for the plurality of areas; and a white balance correction coefficient adjusting unit which adjusts a difference in the white balance correction coefficients for the plurality of areas to be within a first predetermined range.

Abstract: A method for digital image eye artifact detection and correction include identifying one or more candidate red-eye defect regions in an acquired image. For one or more candidate red-eye regions, a seed pixels and/or a region of pixels having a high intensity value in the vicinity of the candidate red-eye region is identified. The shape, roundness or other eye-related characteristic of a combined hybrid region including the candidate red-eye region and the region of high intensity pixels is analyzed. Based on the analysis of the eye-related characteristic of the combined hybrid region, it is determined whether to apply flash artifact correction, including red eye correction of the candidate red-eye region and/or correction of the region of high intensity pixels.

Abstract: An image processing apparatus that performs individual optimum image processing on each of a portion of an image illuminated by a light source and a portion of the image shaded from the light source, an image pickup apparatus, an image processing method, and a computer program are provided.

Abstract: Provided are a digital image processing apparatus, and a method of controlling the same, the method including inputting a setup image having a first region input via a filter; extracting first color information from the first region; retrieving a stored image; generating a display image by changing colors of the stored image based on the first color information; and displaying the display image.

Abstract: An imaging command unit commands an imaging device to image an object projected with a shaded image where a predetermined shade value is set with respect to each pixel. An image acquisition unit acquires a shaded image imaged by the imaging device in accordance with a command of the imaging command unit. An image production unit produces a shaded image where any of shade values is set with respect to each pixel so as to have a brightness distribution opposite to a brightness distribution of the shaded image. An imaging command unit commands the imaging device to image the object projected with the shaded image. The image acquisition unit acquires a shaded image imaged by the imaging device in accordance with a command of the imaging command unit. An object information acquisition unit acquires information on the object in the shaded image based on the shaded image.

Abstract: An image processing device that corrects an obtained image includes: an image acquisition unit that obtains the image; a region setting unit that sets a first region including a main object and a second region not including the main object on the image; an image characteristic amount calculation unit that calculates a first image characteristic amount respectively in the first region and the second region; a comparison unit that compares the first image characteristic amounts of the first region and the second region; an image processing method setting unit that sets an image processing method to be applied to the image, from a plurality of image processing methods, on the basis of a comparison result obtained by the comparison unit; and an image characteristic adjustment unit that adjusts a second image characteristic amount of the obtained image using the method set by the image processing method setting unit.

Abstract: A method and apparatus for automatic white balancing of an image. The method includes retrieving scene analysis of the image, determining at least one of the type of the scene and a scene content map utilizing the scene analysis of the image, performing scene adaptive white balance, if overall scene category type is used, perform white balance by applying global R, G, B gains optimized for the global scene type, and if scene segmentation map is used, perform locally adaptive white balance by applying an R, G, B gain map optimized for each scene content.

Abstract: An imaging device includes an imaging element configured to convert light that has entered from an optical system into an electric signal, and to output the electric signal as an imaging signal, a macro shooting determination section configured to determine whether shooting is macro shooting or not, a low color temperature light source determination section configured to determine whether or not the shooting is performed in a lower color temperature light source based on color information, a first white balance correction coefficient calculator configured to calculate a white balance correction coefficient so as to obtain an image in which a color of the low color temperature light source is added, and a second white balance correction coefficient calculator configured to calculate a white balance correction coefficient so as to obtain an image in which the color of the low color temperature light source is not added in the lower color temperature light source and in the macro shooting.

Abstract: An image capturing apparatus performs RGB three-band image capturing. Additional band pixels BG and OG having a spectral sensitivity peak wavelength between the B and G bands and between the R and G bands, respectively, are disposed on an image sensor consisting of RGB pixels. A feature quantity in the spectral characteristics of light incident on the sensor is obtained based on pixel values in the additional bands and pixel values in the RGB bands detected by the image sensor, and is applied to image processing of a captured object image. In order to maintain the image capturing resolution, in the image sensor, the number of additional band pixels is smaller than the number of R pixels, the number of G pixels, and the number of B pixels.

Abstract: An image pickup apparatus includes a color component acquiring unit that acquires picked-up-image color-component signals representing color components of a picked-up image, a face detecting unit that detects a face, a skin-color-region color-component acquiring unit that, when the picked-up image includes a face, acquires skin-color-region color-component signals based on a face detection result, a skin-color-eliminated-component-signal-information creating unit that creates skin-color-eliminated component-signal information obtained by eliminating the skin-color-region color-component signals, obtained by the skin-color-region color-component acquiring unit, from the picked-up-image color-component signals obtained by the color component acquiring unit, a white-balance-gain setting unit that sets a white balance gain by using the skin-color-eliminated component-signal information, and a white balance control unit that performs white balance adjustment of the color components of the picked-up image by using

Abstract: A first white balance correction amount is calculated according to similarity between image data acquired by an image pickup unit and past image data acquired in the past, and a first white balance correction is performed on the image data according to the first white balance correction amount. A luminance correction amount and a color correction amount are calculated according to similarity between the corrected image data and the past image data corrected in the first white balance correction. Using one of them, the first white balance correction amount is corrected thereby to obtain a second white balance correction amount. According to the obtained correction amount, a second white balance correction, a luminance correction, and a color correction are performed on the image data acquired by the image pickup unit.

Abstract: An apparatus and method for processing an image of an image signal projected through a digital camera lens are provided. The apparatus includes an image sensor module for transforming an optical signal into an electric signal, to generate and output an image signal, and a light receiving module for detecting a light source. The apparatus also includes a light source characteristic detector for detecting a frequency of the light source, a white balance controller for controlling a white balance, a color corrector for removing interferences of red, green, and blue channels, and a gamma corrector for performing a gamma correction. The apparatus further includes an auto color adjustment controller for identifying a kind of light source based on the frequency of the light source, and controlling a white balance gain of the image signal based on the kind of the light source.

Abstract: An image correcting apparatus and method are disclosed to correct a smear vertical line on an image captured by a camera. The method for correcting an image comprising: detecting image data corresponding to a vertical line of a specific image and having hue values greater than a hue reference value; and correcting the detected image data.

Abstract: There is provided a user interface on a display unit of an image-capturing device for selective color balance adjustment of an image. The user interface allows for an image to be divided into a plurality of regions. A user may select one or more regions on the user interface. The user interface also includes a control unit for adjusting a color balance value for each of the selected regions on the user interface based on user input. The user interface allows for adjustment of the color balance value for different regions of an image prior to the image being written onto a recording medium by the image-capturing device.

Abstract: A white balance correction apparatus may include a dividing unit, a white evaluation unit, a white balance correction unit, and a camera orientation discrimination unit. The dividing unit divides an image into a plurality of divided areas. The white evaluation unit determines whether image data within every divided area is indicative of a color white according to white detection regions in a color temperature range defined based on a position of each divided area in the image. The white balance correction unit performs a white balance correction based upon image data determined to be indicative of the color white. The camera orientation discrimination unit discriminates orientation of a camera. In accordance with the discriminated orientation, the white evaluation unit changes a combination of position of each divided area and condition used.

Abstract: In an image pick-up apparatus 1, when an instruction of setting white balance is given by user's manual operation, a central region of a picked up image is set and further the central region of image is divided into plural regions of image. In each of the plural regions of image, RGB components are detected, and gain values of R and B components are calculated, which make these R and B components equivalent to G component. Further, when a variance of colors of the plural regions of image is less than a predetermined threshold value, it is determined that a picture is taken with a color pattern set at the center of viewing angle, an average of gain values set for the plural regions of image is calculated and the average is supplied to a gain controlling unit 41 to be applied to an image signal.

Abstract: An automatic white balance adjusting apparatus and method based on detection of an effective area. The automatic white balance adjusting apparatus may detect the effective area by using a color temperature, a luminance, and a correlation, and may adjust a white balance with respect to the detected effective area.

Abstract: An electronic camera includes an image sensor. The image sensor has an imaging surface irradiated with an optical image of an object scene through a focus lens and repeatedly generates an object scene image. A CPU executes an AF process for adjusting a distance from the focus lens to the imaging surface to a distance corresponding to a focal point, based on the object scene image generated by the image sensor. However, the CPU has a high-luminance excluding function for excluding from a target to be noticed of the AF process a partial image having a luminance exceeding “TH1” out of the object scene image generated by the image sensor. The CPU determines whether or not a partial image having a luminance exceeding “TH2” larger than “TH1” exists on the object scene image generated by the image sensor, and turns on the high-luminance excluding function when a determination result is affirmative and turns off the high-luminance excluding function when the determination result is negative.

Abstract: An appropriate white balance coefficient is calculated using an evaluation value of a specific chromaticity or an imaging condition, in addition to face area detection information, in the following manner. A first white balance coefficient is calculated by a first white balance coefficient calculation unit based on a color image, and a second white balance coefficient is calculated by a second white balance coefficient calculation unit based on a specific subject of the color image. Then, a third white balance coefficient is calculated by a white balance combining unit by weighting the first white balance coefficient and the second white balance coefficient based on an evaluation result of a specific chromaticity evaluation unit or an imaging condition of an imaging condition control unit.

Abstract: An apparatus and method for suppressing color rolling are provided. The apparatus includes a digital signal processor which detects first motion information on a current frame and second motion information on at least one of a plurality of neighboring frames, calculates a gain based on the first and second motion information, and applies the gain to at least one channel of the current frame.

Abstract: An imaging apparatus includes: a display unit for displaying color image data acquired by the imaging unit; a colorimetric position acquisition unit for acquiring colorimetric position data corresponding to a colorimetric part selected by a user in the image data displayed on the display unit; a colorimetric position data record unit for recording the colorimetric position data; a light source; a colorimetric unit, provided near the light source, for performing a colorimetric process at a colorimetric instruction from the user, and acquiring colorimetric data as a result of the colorimetric process; a colorimetric data record unit for recording the colorimetric data; and a storage unit for associating the image data displayed on the display unit, the colorimetric position data recorded on the colorimetric position data record unit, and the colorimetric data recorded on the colorimetric data record unit, and storing the data.

Abstract: An imaging apparatus includes an imaging unit to acquire image data, an integration unit to calculate a white balance integration value, a first calculation unit to calculate a still image white balance control value, a second calculation unit to calculate a histogram white balance control value, and a histogram processing unit. The second calculation unit calculates the histogram white balance control value by converting a white balance control value which is used in white balance processing on the image data acquired by the imaging unit in an electronic view finder (EVF) mode to the still image white balance control value, and the histogram processing unit adjusts color balance of the image data acquired by the imaging unit using the calculated histogram white balance control value and performs the histogram processing in parallel with calculation of the white balance integration value.

Abstract: A specific target included in an image is detected by a specific target detection unit based on a specific target evaluation value representing likeliness of the specific target. Using a first white balance correction value calculation unit for obtaining a first white balance correction value for the region of the image other than the specific target, a second white balance correction value calculation unit for obtaining a second white balance correction value for the specific target region, and a white balance correction value comparison unit for making a comparison between the first and second white balance correction values, white balance in the region other than the specific target is corrected using the first white balance correction value, and white balance in the specific target region is corrected using the second white balance correction value, if the white balance correction values are different from each other.

Abstract: A process for performing white balancing of an image is performed by subdividing an image into a plurality of subframes, and then analyzing each subframe to determine if that subframe is predominantly monochromatic other than gray. If so, that subframe is excluded from the computation of the gain adjustments in the white balancing operation. As a result, the white balance process is performed using only the multicolored and/or gray subframes, thus allowing the overall white-balance of the image to be shifted only when a change in the color average is due to a change in the spectra of illumination, and not a presence of large monochromatic areas in the image.

Abstract: A highlight suppression image pickup apparatus includes a camera part provided with a lens optical system, an active filter part which is disposed in the vicinity of a focal plane of the camera part and which can control the amount of transmitted light, a light sensing device which senses a light transmission amount of the active filter part, and highlight suppression signal producing parts which produce a highlight suppression signal which controls the light transmission amount of the active filter part such that the amount of light sensed by the light sensing device becomes a predetermined reference value. The highlight suppression signal which controls the light transmission amount of the active filter part is output an image signal.

Abstract: A reflectance image that represents a reflectance distribution, and an illuminance component image that represents an illuminance distribution are generated from an input image. A plurality of small regions, which are divided based on illuminance components of the generated illuminance component image, are specified. A quantized image is generated from the reflectance image for respective specified small regions. Regions having equal quantized pixel values are acquired in the quantized image. Representative pixel values for the respective acquired regions are acquired based on the illuminance component image. Quantized pixel values of the respective acquired regions are corrected using the acquired representative pixel values.

Abstract: An image recording apparatus includes an imaging section which images a subject to obtain imaging data. An image quality information acquiring section acquires a plurality of sets of information concerning image quality. An image quality information converting section converts the plurality of sets of information concerning the image quality acquired in the image quality information acquiring section into image processing parameters used in image processing of the imaging data. An image processing section performs image processing with respect to the imaging data based on the image processing parameters converted by the image quality information converting section. A recording section records in a recording medium the imaging data subjected to image processing in the image processing section, or records in the recording medium the imaging data which is not yet subjected to image processing in the image processing section and the plurality of sets of information concerning the image quality.

Abstract: Acquiring enough brightness with flash and obtaining an image having a color close to a color which a human senses.

Abstract: An image processing apparatus determines, when white balance correction is executed on an image signal of a face area detected by face detection unit, based on a first white balance correction value obtained by detecting white pixels, whether the corrected image signal of the face area is present in a second color signal area around a first color signal area indicating a flesh color. When the corrected image signal of the face area is determined to be present in the second color signal area, the image processing apparatus calculates a second white balance correction value for correcting the image signal based on a relationship between the corrected image signal of the face area and the first color signal area.