Abstract: An image processing apparatus comprising a first correction unit which performs first gray-level correction on an image of a target region using a first correction amount, a first estimation unit which estimates a number of specific objects in the image of the target region corrected by the first correction unit, a second correction unit which performs second gray-level correction on the image of the target region using a second correction amount that is different from the first correction amount, a second estimation unit which estimates the number of specific objects in the image of the target region corrected by the second correction unit; and a selection unit which selects a larger one of the number of the specific objects estimated by the first estimation unit and the number of the specific objects estimated by the second estimation unit.

Abstract: A display device includes: organic light emitting diodes configured to emit light depending on grayscales constituting a target frame; a power voltage supplier configured to supply a power voltage to one electrode of each of the organic light emitting diodes; and a power voltage determiner configured to: extract target grayscales in descending order from a highest grayscale among the grayscales; and determine a voltage value of the power voltage based on each number of the target grayscales.

Abstract: A display gradation number acquisition unit acquires the number of display gradations of the video data during each horizontal scanning period based on a gradation histogram. A first display gradation holding period value generator generates a first display gradation holding period value based on a gradation value difference. A second display gradation holding period value generator generates a second display gradation holding period value based on the number of pixels for each display gradation. A holding period provisional value generator selects a display gradation holding period value having a larger value to generate a holding period provisional value. A holding period total value generator generates a holding period total value that is a sum of the holding period provisional value during each horizontal scanning period. A holding period optimum value generator generates a holding period optimum value of each display gradation.

Abstract: An image processing apparatus includes an image processing unit configured to generate a first video signal for a first display apparatus, a correction unit configured to generate, when the first video signal is displayed on a second display apparatus operative to represent a brightness range narrower than a brightness range representable by the first display apparatus, correction information for correcting brightness of the video, and a recording unit configured to associate the correction information generated by the correction unit with the first video signal and hold the associated information.

Abstract: Methods for mapping an image from a first dynamic range to a second dynamic range are presented. The mapping is based on a function that includes two spline polynomials determined using three anchor points and three slopes. The first anchor N point is determined using the black point levels of the input and target output, the second anchor point is determined using the white point levels of the input and target output, and the third anchor point is determined using mid-tones information data for the input and target output. The mid-tones level of the target output is computed adaptively based on an ideal one-to-one mapping and by preserving input contrast in both the blacks and the highlights. An example tone-mapping transfer function based on third order (cubic) Hermite splines is presented.

Abstract: An image adjusting method is applied to a display apparatus having an ambient light sensor. The image adjusting method includes driving the ambient light sensor to detect surrounding illumination, adjusting PWM values of a plurality of pixels on the display apparatus according to the surrounding illumination, and adjusting intensity offset values of the plurality of pixels according to an offset amending function.

Abstract: A method of analysing streams of metric data from a plurality of data processing sources (2) in a parallel processing system (1), using a computer (6). Each stream includes time stamped data associated with the respective data processing source in respect of a given metric which is sampled at intervals. For each stream of data, a start time and an end time are identified. A normalized start time and a normalized end time are determined across all streams. Sampling points are specified between the normalized start time and the normalized end time. For each stream of data, the data is re-sampled at the specified sampling points. For each sampling point, the re-sampled data across all the streams of data is processed to determine a statistical derivative of the data. A report is displayed which represents the values of the statistical derivative as a function of time. The process may be applied to various different metrics, and the results displayed at the same time, on a common time axis.

Abstract: According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

Abstract: The image processing device includes a luminance modulator, a backlight control gain adjustment unit, a peak value detector, and a histogram detector. The peak value detector calculates a peak value as a maximum luminance value in a prescribed region of the video input signal inputted. The histogram detector calculates frequency distribution about the luminance value of the video input signal. Based on the peak value calculated by the peak value detector and the frequency distribution calculated by the histogram detector, the luminance modulator converts a luminance value of the video input signal into a luminance value of the video output signal and outputs the video output signal, for every pixel. The backlight control gain adjustment unit creates the backlight control signal based on the peak value.

Abstract: An automated method is provided of identifying stock indexes which are historically high or historically low relative to a plurality of a macroeconomic indicators. A frequency distribution graph may then be constructed of the data points which visualizes the price history of the stock indexes in an animated graphical representation.

Abstract: The disclosure relates to assemblies, kits and methods for multi-mode optoelectronic observation and sighting system with cross-platform integration capability. More particularly, the disclosure relates to assemblies, kits and methods facilitating the analog fusion of VNIR and LWIR image sensors' data to a single, coherent display.

Abstract: An apparatus and method are provided for performing detail enhancement. The apparatus includes an edge detector that detects an edge pixel from contents based on a luminance component of the contents, a histogram analyzer that generates at least one histogram with respect to the edge pixel and determines a gain variable value of the edge pixel based on the at least one histogram, and a gain regulator that determines a gain corresponding to the gain variable value of the edge pixel.

Abstract: A method for adjusting a contrast value of a video capturing end to a optimum contrast value is provided. Firstly, a first video image and a first contrast value of the first video image are gathered by a software part. A reference image is generated according to the first video image. The first video image is compared with the reference image to generate a first image evaluation value and an operation is performed to determine whether the first image evaluation value is greater than a first threshold. When the first image evaluation value is smaller than the first threshold, a second contrast value is generated according to the first contrast value and a dynamical contrast adjusting value. The second contrast value is sent to a firmware part by the software part to adjust a contrast value of the video capturing end according to the second contrast value.

Abstract: An imaging device, an image system and an imaging method in which proper image correction processing is carried out on a video signal are provided. An imaging device includes: a video signal input unit which inputs a video signal; and an image processing unit to which the video signal is inputted and which carries out correction of the video signal and outputs a corrected video signal. The image processing unit includes a histogram detection unit which divides an image area termed by the acquired video signal into plural areas, acquires a per-area histogram that is a histogram or the video signal in each of the plural areas, and finds per-area histogram data for each area based on the per-area histogram. The image processing unit carries out correction of the video signal based on a cumulative value of the per-area histogram data.

Abstract: Systems, apparatus, articles, and methods are described including operations for color enhancement via gamut expansion.

Abstract: Image tone adjustment using local tone curve computation may be utilized to adjust luminance ranges for images. Image tone adjustment using local tone curve computation may reduce the overall contrast of an image, while maintaining local contrast in smaller areas, such as in images capturing brightly lit scenes where the difference in intensity between brightest and darkest areas is large. A desired brightness representation of the image may be generated including target luminance values for corresponding blocks of the image. For each block, one or more tone adjustment values may be computed, that when jointly applied to the respective histograms for the block and neighboring blocks results in the luminance values that match corresponding target values. The tone adjustment values may be determined by solving an under-constrained optimization problem such that optimization constraints are minimized. The image may then be adjusted according to the computed tone adjustment values.

Abstract: This invention discloses an image pickup device and an image synthesis method thereof The image pickup device comprises an image-pickup module, an image-synthesis module, a database and a processing module. The image-pickup module captures a plurality of temporary images of a scene. The image-synthesis module extracts a part of each temporary image and combines the parts to form a panorama temporary image, and splits the panorama temporary image into a plurality of zone-areas according to at least one threshold value and a panorama luminosity histogram. The database stores a lookup table for recording a plurality of exposure values. The plurality of the exposure values correspond to luminance values of the zone-areas respectively. The processing module obtains the plurality of exposure values corresponding to the luminance values and obtains a weighting-exposure value by an equation, and controls the image-pickup module to capture the panorama image according to the weighting-exposure value.

Abstract: A global image adjustment, such as dynamic range adjustment is established based on image characteristics. The image adjustment is based more heavily on pixel values in image areas identified as being important by one or more saliency mapping algorithms. In one application to dynamic range adjustment, a saliency map is applied to create a weighed histogram and a transformation is determined from the weighted histogram. Artifacts typical of local adjustment schemes may be avoided.

Abstract: A method of processing image data for display by a display panel of a display device. The method comprises receiving main image pixel data representing a main image and side image pixel data representing a side image, and performing a mapping of the pixel data to signals used to drive the display panel. The mapping is arranged to produce an average on-axis luminance which is dependent mainly on the main image pixel data and an average off-axis luminance which is dependent at least to some extent on the side image pixel data. A compression of the main image pixel data is performed in advance of or at least partly incorporated into the mapping, the compression being performed at least partly in dependence upon the main image pixel data and at least partly in dependence upon how the off-axis luminance varies with pixel data input to the mapping.

Abstract: An image display device includes a creation unit configured to calculate histogram data before correction that indicates a luminance distribution from an input image data; a clip processing unit configured to set a value of the number of pixels of a tone to an upper threshold when the tone among tones of luminance values in the histogram data; an addition unit configured to add a value of the number of pixels based on a difference between the upper threshold and a value of the number of pixels for each tone that is set to the upper threshold in the histogram data before correction to a value of the number of pixels of at least a part of tones that are present between a first luminance value and a second luminance value and to output obtained corrected histogram data; and a correction unit configured to correct the input image data.

Abstract: An image processing device (100) includes: a luminance distribution information preparation section (110) for preparing a luminance histogram in which each luminance range serves as a class, by counting the number of pixels belonging to each luminance range; a weight correction section (120) for generating, for each luminance range, a weighting value which is proportional to a corresponding class value; and an image processing section (140) for correcting a luminance value of each pixel so that a difference between a maximum luminance value and a minimum luminance value in the luminance range is determined by an increasing function with respect to both (i) a frequency of the luminance range and (ii) a weighting value of the luminance range.

Abstract: A video processor includes a video stream translation module configured to generate a translated luminance value for a pixel of a current frame of a video data stream. The translated luminance value is based on a first luminance value for the pixel and a first translation matrix for the current frame of the video data stream. The video processor includes a filter configured to generate an output luminance value for the pixel based on the translated luminance value and a target translated luminance value for the pixel. The output luminance value may be based on a weighted average of the translated luminance value and the target translated luminance value using a first weighting factor. The video processor may include a first weighting factor generator configured to generate the first weighting factor based on luminance values of the current frame of the video stream.

Abstract: A filter for a video stream is provided. The filter generates a filtered picture according to a current picture and its previous picture. A motion difference calculator accumulates differences between current picture values and previous picture values within a neighborhood of each pixel to provide a corresponding motion difference. A histogram counter performs histogram counting according to motion differences of the pixels. A filter value calculator provides a filter value for each pixel according to operations of the motion difference calculator and the histogram counter. A blender blends the current picture value and the previous picture value of each pixel according to weightings correlated to the filter value, and provides a filtered picture value for each pixel of the filtered picture.

Abstract: A system including a processor for adjusting the dynamic range of an image including a plurality of pixels. The processor segments the pixels into blocks, and computes statistical values for each block based on intensity values of the pixels. The processor also adjusts the dynamic range of the image by controlling the intensity values of the pixels based on the statistical values.

Abstract: A system for modification of an image to be displayed on a display includes receiving an input image and adjusting a luminance level for a backlight of the display for displaying the input image based upon an ambient lighting level and a visual system responsive model to the ambient lightening level.

Abstract: A histogram generation portion calculates a prescribed feature value of a pixel and the maximum feature value for the pixel, for each pixel of one frame of an input video signal. Then, the ratio of the feature value of the pixel to the maximum feature value is calculated for each pixel as an index of color brightness, and a histogram generated wherein the numbers of pixels are integrated by index value. An enhancement processing portion applies gain and carries out an enhancement for pixel values wherein the index in the histogram which the histogram generation portion generates is greater than or equal to a prescribed threshold. The feature value is treated as a luminosity (L*) which is defined with CIELAB chroma space. Additionally, the feature value may be data which has the maximum tone value among pixel RGB data, or may be a luminosity value (Y) of the pixel.

Abstract: An image converting device includes; a downscaling unit which downscales a two-dimensional image to generate at least one downscaling image, a feature map generating unit which extracts feature information from the downscaling image to generate a feature map, a visual attention calculating unit which generates a low-level attention map based on a visual attention of the feature map, and an image expansion unit which up-scales the low-level attention map, wherein an increasing gray value may be added to image data disposed on the upper portion in the low-level attention map, and 0 or a decreasing gray value may be added to the image data disposed on the lower portion.

Abstract: A first video picture is translated based upon a first translation matrix to adjust a contrast of the first video image. A second translation matrix is determined based upon a first histogram of a second video picture. A third translation matrix is determined based upon the first translation matrix and the second translation matrix, and the video picture is translated based upon the third translation matrix. The translation matrix can be determined using a histogram that has been adjusted using a clipped histogram equalization technique.

Abstract: An image processing device (100) includes: a luminance distribution information preparation section (110) for preparing a luminance histogram in which each luminance range serves as a class, by counting the number of pixels belonging to each luminance range; a weight correction section (120) for generating, for each luminance range, a weighting value which is proportional to a corresponding class value; and an image processing section (140) for correcting a luminance value of each pixel so that a difference between a maximum luminance value and a minimum luminance value in the luminance range is determined by an increasing function with respect to both (i) a frequency of the luminance range and (ii) a weighting value of the luminance range.

Abstract: To provide an image processing system for detecting an image a frame which causes large blinking of light among realistic images with a high dynamic range and for correcting the image and a method of image processing.

Abstract: An image processing apparatus comprises: an acquisition unit that divides an inputted video image into a plurality of divisions, and acquires a histogram of each of the divisions; a generation unit that generates a gradation conversion curve for each of the divisions; a determination unit that determines whether or not the inputted video image is a multi-screen video image; and a gradation correction unit that performs a smoothing process in accordance with a pixel position, to correct the gradation of the video image in each of the divisions using the gradation conversion curve of each of the divisions, wherein when the inputted video image is the multi-screen video image, the determination unit detects a position of a boundary between the plurality of video image contents, and the gradation correction unit does not perform the smoothing process within a predefined area from the boundary.

Abstract: A liquid crystal panel displays an image from image signals. A backlight device is disposed on the back side of the liquid crystal panel, and is divided into a plurality of regions. The backlight device comprises light sources in each of the regions. The light sources are positioned to emit light onto the liquid crystal panel. A histogram detector detects an image signal gradation distribution for each region and to produce a histogram therefrom. An image gain calculator calculates a gain from the detected gradation distribution of the histogram detector, and controls light emission from each light source in each region of the backlight device. A light emission luminance calculator controls the light emission luminance of each light source based on a maximum luminance of the light sources and based on an inverse number of the gain calculated in the image gain calculator.

Abstract: The embodiments disclosed herein comprise a plurality of modules and means to provide effect dynamic gamut mapping and backlight control.

Abstract: In a method of realism assessment of an image composite, the foreground and the background are transformed into a color space, such as YCbCr, followed by projecting the foreground and the background to a subspace represented by the axes representing chromatic information. The image composite is assessed in the projected subspace, according to linearity of color distributions of the foreground/the background, or according to distance between the color distributions of the foreground/the background and a center of the transformed color space.

Abstract: An image correction circuit includes: a region determining means for determining an intermediate luminance region in each image frame on the basis of the description of input image data; a luminance distribution acquiring means for acquiring a luminance distribution of input image data in the determined intermediate luminance region in each image frame; a determining means for determining an input/output characteristic line in each image frame by adaptively changing a predetermined reference input/output characteristic line on the basis of the acquired luminance distribution of the intermediate luminance region, the input/output characteristic line defining the substance of image correction on input image data; and a correction executing means for executing image correction on input image data on the basis of the determined input/output characteristic line.

Abstract: An image correction method includes the steps of: acquiring a black-side intermediate luminance distribution as a luminance distribution in a region between a lowest luminance in a given intermediate luminance region in a luminance distribution of input image data in an image frame and a reference luminance provided in the center of the intermediate luminance region; determining a low-luminance-region input/output characteristic curve on the basis of the acquired black-side intermediate luminance distribution, the low-luminance-region input/output characteristic curve passing through a reference point, in the reference input/output characteristic line, determined in accordance with the reference luminance and through a minimum luminance point of the reference input/output characteristic line; and executing image correction on input image data having a luminance which is lower than the reference luminance on the basis of the determined low-luminance-region input/output characteristic curve.

Abstract: Low frequency components are extracted from a video signal for pixels in a specific area of an image carried by the signal. The low frequency components are allocated, based on luminance components of the signal, to gradations ranging from maximum to minimum levels exhibited by the luminance components, luminance histogram data being produced indicating the frequency of gradations for the pixels. The gradations are allocated to the pixels based on the luminance components to produce high-frequency component histogram data indicating the frequency of gradations for specific pixels each carrying a high frequency component. The luminance histogram data is corrected in accordance with the frequency of gradations in the high-frequency component histogram data to produce corrected luminance histogram data. A gradation correction curve is produced for correcting the gradations exhibited by the signal using the corrected data. The luminance components are corrected based on the correction curve.

Abstract: A parameter for determining a chrominance correction curve for use in correcting the chrominance component of each pixel is determined from one or more parameters for determining a luminance correction curve for use in correcting luminance applied to the entirety of one frame of motion picture data. The chrominance component of each pixel is corrected using the chrominance correction curve.

Abstract: According to one embodiment, a discrimination module that discriminates whether an input image signal is of CG images or natural images, a color correction module that applies color correction processing for CG images to the input image signal when the input image signal is determined to be of CG images or applies color correction processing for natural images to the input image signal when the input image signal is determined to be of natural images, and a projection module that generates an optical image based on the image signal applied with the color correction processing, and projects and displays the image on a screen through a projection lens, are included.

Abstract: The adaptive contrast enhancer uses an adaptive histogram equalization-based approach to improve contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three regions that are equalized independently of the other. The equalized values are averaged with the original pixel values with a weighting factor that depends on the shape of the histogram. The weighting factors can be also chosen differently for the three regions to enhance the darker regions more than the brighter ones. The statistics calculated from one frame are used to enhance the next frame such that frame buffers are not required. Many of the calculations are done in the inactive time between two frames.

Abstract: A projection display unit includes: a light modulation panel which modulates light from a light source in accordance with a given image signal; an iris diaphragm which regulates, by changing a diaphragm diameter, a transmission amount of light modulated by the light modulation panel; a histogram creator which creates a histogram of a luminance signal distribution of the image signal; a histogram analyzer which analyzes the created histogram to specify high-luminance and low-luminance reference values in the histogram; a reference value derivation section which derives a single reference value from both the high-luminance reference value and the low-luminance reference value specified by the histogram analyzer; and an iris controller which determines the diaphragm diameter of the iris diaphragm for the light modulated by the light modulation panel in accordance with the image signal on the basis of the single reference value specified by the reference value derivation section.

Abstract: A real-time image processing circuit includes: a first converting unit for converting an input image frame into hue data, first saturation data and first luminance data; a saturation processing unit operable to adjust the first saturation data based on saturation mapping information to generate second saturation data corresponding to the input image frame and having a saturation distribution range larger than that of the first saturation data; a luminance processing unit operable to adjust the first luminance data based on luminance mapping information to generate second luminance data corresponding to the input image frame and having a luminance distribution range larger than that of the first luminance data; and a second converting unit for converting the hue data, the second saturation data and the second luminance data into an output image frame corresponding to the input image frame and outputting the output image frame.

Abstract: This application includes devices and methods for processing multimedia data to generate enhanced multimedia data at a receiver based on encoder assisted pre-processing. In one aspect, processing multimedia data includes identifying at least one pixel intensity range in at least one image of multimedia data, modifying at least a portion of the multimedia data to reduce the pixel intensity range, and encoding the modified multimedia data to form encoded multimedia data.

Abstract: The present invention enables a user to easily identify individual colors included in a color image. Specifically, a color image is divided into two or more areas based on colors, and based on the feature values for the individual areas obtained by division, the order of the colors is changed. Then, the colors of the individual areas are displayed in accordance with the changed order.

Abstract: A display device includes: a brightness histogram information producing unit that produces brightness histogram information on the basis of an image signal; an APL calculating unit that calculates an APL on the basis of the brightness histogram information; a highest class determining unit that determines a highest class, which is a class with a highest brightness, on the basis of the brightness histogram information; an APL difference value calculating unit that calculates an APL difference value which is a difference value between an APL of a previous frame and an APL of a current frame; and a white peak value determining unit that determines a white peak value of a current frame by adding a predetermined value to a white peak value of a previous frame when a highest class difference absolute value, which is an absolute value of a difference value between a highest class of the previous frame and a highest class of the current frame, is less than a threshold value and that determines a white peak value of t

Abstract: A method and system for detecting and estimating noise in a video signal. For example, with a video signal containing low power Gaussian noise, identifying a low-activity region in the input video signal, in which the pixels in the identified region have magnitude values within a range, and creating a histogram from the pixels in the identified region. Once a minimum number of pixels have been sorted into the histogram, estimating the standard deviation on the magnitude values of the pixels to estimate the noise that should be removed from the signal. An edge map or a binary map indicating pixels for inclusion in the estimation may be used to aid in the detection of low-activity regions of the input video signal.

Abstract: According to one embodiment, a video processing apparatus includes a histogram generator, a determination module and a sharpening processor. The histogram generator generates a histogram based on a luminance level of pixels of a video signal. The determination module determines whether the video signal is a captured video based on the histogram. The sharpening processor sharpens the video signal based on an imaging model function in which a blur due to imaging is not considered, if the video signal is not the captured video.

Abstract: According to one embodiment, a video display apparatus having a smoothing processing unit inputs luminance signals of pixels which form an image, acquires histogram data by counting the numbers of pixels for respective levels of the input luminance signals, sets a correction amount for a change amount of the levels of luminance signals based on the acquired histogram data, corrects the change amount of the levels of luminance signals near a pixel to be processed based on the correction amount, and corrects the level of the input luminance signal for the pixel to be processed using the corrected change amount of the levels of luminance signals.

Abstract: Disclosed is a video signal processing device and a method of processing gradation capable of improving the contrast ratio and the user satisfaction of a plasma display device. The video signal processing device includes a position detecting unit for detecting positions of pixels to be displayed in a frame, a sub region detecting unit for detecting a central region including a reference point formed of at least one pixel in the frame and sub regions surrounding the central region, and a compensating unit for differently compensating brightness of pixels positioned in the sub regions and brightness of pixels positioned in the central unit.

Abstract: A system for dynamic gamma correction of multi-scaled clocks and method therefor are provided, wherein multi-scaled clocks are applied to control the grayscale upon only one set of ramp voltage, so that the linearity of the gamma curve can be adjusted freely or to adjust the gamma correction strategy based on the image content or the user preference.