2442 results about "Pixel based" patented technology

Data supplied to a display having a plurality of pixels comprises both content to be displayed and metadata that identifies the content of the respective pixel as being of a particular type by setting the metadata for each pixel to a value that is one of a predefined set of values. The identification of the content as being of a particular type enables the classification of the pixels on a per pixel basis into one or more categories. Pixels containing data for an advertisement can be identified and metered to determine the total display space they occupy and length of time they are displayed, which are both considered measures of the effectiveness of the advertisement. This metering can therefore be used to more equitably charge for advertising on web pages because an advertiser can be charged on the basis of what a user actually sees on the display. If only a percentage of the advertisement is visible, the advertiser pays an amount in proportion to the percentage of the advertisement that is visible. Pixels belonging to an advertisement can also be metered by a video game in a manner that gives an incentive to a game player to view advertisements. Additionally, metadata can be used to identify a pixel as containing objectionable content or some other information or type of content not desired by a user. The pixels containing objectionable or undesired content, which usually are pixels that display an object or portions thereof, can then be filtered out of the picture in a more precise way to either delete or leave a blurred image of the object or objectionable / undesirable portion thereof only, without hiding an entire screen of data.

Techniques and tools for encoding and decoding motion vector information for video images are described. For example, a video encoder yields an extended motion vector code by jointly coding, for a set of pixels, a switch code, motion vector information, and a terminal symbol indicating whether subsequent data is encoded for the set of pixels. In another aspect, an encoder / decoder selects motion vector predictors for macroblocks. In another aspect, a video encoder / decoder uses hybrid motion vector prediction. In another aspect, a video encoder / decoder signals a motion vector mode for a predicted image. In another aspect, a video decoder decodes a set of pixels by receiving an extended motion vector code, which reflects joint encoding of motion information together with intra / inter-coding information and a terminal symbol. The decoder determines whether subsequent data exists for the set of pixels based on e.g., the terminal symbol.

A liquid crystal display drive circuit includes capacitance predicting section for predicting a capacitance value each pixel will reach at one refresh cycle later when applying a predetermined voltage for targeted brightness, a frame buffer for storing the predicted capacitance value, and overdrive voltage calculating section for calculating a voltage to be applied to each pixel based on targeted brightness at one refresh cycle later and the stored capacitance value in frame buffer.

Systems and methods for generating pixel based depth estimates are disclosed. An image processing system operating as depth analysis engine generates an estimated depth associated with a pixel based on a reference image and other related images. A current depth estimate is refined based on neighboring pixels and calculated consistency scores. Further, depth estimates can be levered in object or scene recognition to trigger or initiate an action taken by a computing device.

A color imaging apparatus comprising: a single-plate color imaging element including color filters arranged on pixels arranged in horizontal and vertical directions where all colors are arranged in each line in the directions; weighted average filters with filter coefficients set in a local area extracted from a mosaic image acquired from the color imaging element corresponding to the weighted average filters so that proportions of sums of the filter coefficients of each color in the lines in the horizontal and vertical directions are equal; a weighted average calculation unit that calculates weighted average values of each color; a demosaicking processing unit that calculates a pixel value of another color at a pixel position of a target pixel of demosaicking processing and that interpolates a pixel value of the target pixel based on a color ratio or a color difference of the calculated weighted average values to calculate the pixel value.

The present invention specifies the characteristic of a driving transistor provided in a pixel and corrects a video signal to be inputted to the pixel based on the specification. As a result, a light emitting device and its driving method in which influence of fluctuation in characteristic among transistors is removed to obtain clear multi-gray scale are provided. The present invention can also provide a light emitting device and its driving method in which a change with age in amount of current flowing between two electrodes of a light emitting element is reduced to obtain clear multi-gray scale display.

An automated image processing system and method are provided for class-based segmentation of a digital image. The method includes extracting a plurality of patches of an input image. For each patch, at least one feature is extracted. The feature may be a high level feature which is derived from the application of a generative model to a representation of low level feature(s) of the patch. For each patch, and for at least one object class from a set of object classes, a relevance score for the patch, based on the at least one feature, is computed. For at least some or all of the pixels of the image, a relevance score for the at least one object class based on the patch scores is computed. An object class is assigned to each of the pixels based on the computed relevance score for the at least one object class, allowing the image to be segmented and the segments labeled, based on object class.

The present invention specifies the characteristic of a driving transistor provided in a pixel and corrects a video signal to be inputted to the pixel based on the specification. As a result, a light emitting device and its driving method in which influence of fluctuation in characteristic among transistors is removed to obtain clear multi-gray scale are provided. The present invention can also provide a light emitting device and its driving method in which a change with age in amount of current flowing between two electrodes of a light emitting element is reduced to obtain clear multi-gray scale display.

A graphics system and method for performing blur effects, including motion blur and depth of field effects, are disclosed. In one embodiment the system comprises a graphics processor, a sample buffer, and a sample-to-pixel calculation unit. The graphics processor is configured to receive a set of three-dimensional (3D) graphics data and render a plurality of samples based on the set of 3D graphics data. The processor is also configured to generate sample tags for the samples, wherein the sample tags are indicative of whether or not the samples are to be blurred. The super-sampled sample buffer is coupled to receive and store the samples from the graphics processor. The sample-to-pixel calculation unit is coupled to receive and filter the samples from the super-sampled sample buffer to generate output pixels, which in turn are displayable to form an image on a display device. The sample-to-pixel calculation units are configured to select the filter attributes used to filter the samples into output pixels based on the sample tags.

Systems and methods of detecting and correcting redeye in an image are described. In one aspect, pixels of the input image are segmented based on projections of color values of the pixels onto two-dimensional thresholding planes. Candidate redeye pixel areas are identified in the input image based on the segmented pixels of the input image.

The invention in one embodiment is an apparatus for compressing multi-view video data from a first view and a second view. The apparatus comprises a first encoder receiving a first set of video data from the first view, encoding the first set of video data and transmitting the encoded first set of video data. The apparatus further comprises a second encoder that includes an estimator and a codec. The estimator receives the encoded first set of video data from the first encoder, receives a second set of video data from the second view, generates a pixel-based disparity vector field from the received first and second sets of video data, and transmits the disparity vector field. The codec receives the vector disparity field from the estimator, encodes the received vector disparity vector field with motion compensated disparity, and transmits the encoded disparity vector field.

Techniques are disclosed for generating stereoscopic images. The techniques include receiving a first image frame associated with a first eye, and receiving a first depth frame associated with the first eye. The techniques further include reprojecting the first image frame based on the first depth frame to create a second image frame associated with a second eye. The techniques further include identifying a first pixel in the second image frame that remains unwritten as a result of reprojecting the first image frame, and determining a value for the first pixel based on a corresponding pixel in a prior image frame associated with the second eye. One advantage of the disclosed techniques is that DIBR reprojected image frames have a more realistic appearance where gaps are filled using pixels from a prior image for the same eye.

A system and method for enhanced multi-sample anti-aliasing. The method includes determining a sampling pattern corresponding to a pixel and adjusting the sampling pattern based on a visual effect (e.g., post-processing visual effect). The method further includes accessing a first plurality of samples based on the sampling pattern. The first plurality of samples may comprise a second plurality of samples within the pixel and a third plurality of pixels outside of the pixel. The method further includes performing anti-aliasing filtering of the pixel based on the first plurality of samples and the sampling pattern.

Techniques are disclosed for generating stereoscopic images. The techniques include receiving a first image frame associated with a first eye, and receiving a first depth frame associated with the first eye. The techniques further include reprojecting the first image frame based on the first depth frame to create a second image frame associated with a second eye. The techniques further include identifying a first pixel in the second image frame that remains unwritten as a result of reprojecting the first image frame, and determining a value for the first pixel based on a corresponding pixel in a prior image frame associated with the second eye. One advantage of the disclosed techniques is that DIBR reprojected image frames have a more realistic appearance where gaps are filled using pixels from a prior image for the same eye.

This invention relates to a method and apparatus for segmenting an image using a combination of image segmentation techniques. More particularly, the invention is directed to an improved image segmentation technique for use in an image processing system that performs at least two distinct image segmentation processes on an image and combines the results to obtain a combined multi-layer representation of the image that can be suitably processed. In a specific example, a block based segmentation technique is performed on an image to generate a MRC (mixed raster content) representation—having foreground, background and selector layers. A pixel based segmentation technique is also performed on the image to generate rendering hints. The MRC representation and the rendering hints are then combined to obtain a four (4) layer representation of the image. The four layer representation is subsequently processed as required by the image processing system, e.g. compressed and stored.

An apparatus for using metadata to more precisely process displayed content may include a processor executing stored instructions, which causes the apparatus to at least receive an image data frame including pixels having a visual object(s), wherein bits in the image data frame includes pixel data for a single pixel. The pixel data includes content and metadata fields. The metadata field includes a value. The metadata value indicates that the single pixel is part of a visual object in a category. The execution of the stored instructions may also cause the apparatus to identify pixels including a visual object by their metadata fields. The pixels include a visual object identifiable within the image data frame such that certain operations are performed on the pixels forming an individual visual object separate from pixels forming remaining visual objects in the visual field. Corresponding methods and computer program products are also provided.

The method discloses a method of segmenting moving objects and determining their motion from video data. The method generates (104) a motion vector field by comparing the current frame of video data with the previous frame, where a motion vector is determined for each pixel of the current frame. The method then generates (106) a motion parameter field by sliding a window over the motion vector field of the current frame, and determining a set of motion parameters for each pixel based on a motion model of the motion vector field. The method then distributes (108) seeds throughout the motion parameter field so that fewer seeds are allocated to those areas of the motion parameter field having homogeneous motion parameter sets. The method then grows (110) regions from said seeds so as to segment the motion parameter field into a number of regions. The method considers a number of pixels that border the growing regions and the pixel that has a motion vector that is most similar to the motion parameter field of a region it borders is appended to that region. The method then updates the set of motion parameters of the appended region. The method continues until there are no more pixels bordering the growing regions.

A method and system for converting low-dose tomosynthesis projection images or reconstructed slices images with noise into higher quality, less noise, higher-dose-like tomosynthesis reconstructed slices, using of a trainable nonlinear regression (TNR) model with a patch-input-pixel-output scheme called a pixel-based TNR (PTNR). An image patch is extracted from an input raw projection views (images) of a breast acquired at a reduced x-ray radiation dose (lower-dose), and pixel values in the patch are entered into the PTNR as input. The output of the PTNR is a single pixel that corresponds to a center pixel of the input image patch. The PTNR is trained with matched pairs of raw projection views (images together with corresponding desired x-ray radiation dose raw projection views (images) (higher-dose). Through the training, the PTNR learns to convert low-dose raw projection images to high-dose-like raw projection images. Once trained, the trained PTNR does not require the higher-dose raw projection images anymore. When a new reduced x-ray radiation dose (low dose) raw projection images is entered, the trained PTNR outputs a pixel value similar to its desired pixel value, in other words, it outputs high-dose-like raw projection images where noise and artifacts due to low radiation dose are substantially reduced, i.e., a higher image quality. Then, from the “high-dose-like” projection views (images), “high-dose-like” 3D tomosynthesis slices are reconstructed by using a tomosynthesis reconstruction algorithm. With the “virtual high-dose” tomosynthesis reconstruction slices, the detectability of lesions and clinically important findings such as masses and microcalcifications can be improved.

There is provided An image projection apparatus comprising: a spatial light modulation element that modulates illumination light by switching the display and non-display statuses of the respective pixels based on pulse width modulation driving to perform gradation expression for each pixel; a light source section able to increase and decrease the amount of illumination light output according to an input controlled variable; a light source control section that periodically controls the light amount of the illumination light output from the light source section; and a projection optical section that projects images modulated by the spatial light modulation element, wherein the light source control section selectively controls the light amount of the illumination light output from the light source section by either one of a first mode in which the controlled variable is changed in a first control period that is shorter than the display period for the spatial light modulation element to display the input image information, and a second mode in which the controlled variable is changed in a second control period that is longer than the first control period.

Systems and methods for providing a shared charge in pixelated image detectors are provided. One method includes providing a plurality of pixels for a pixelated solid state photon detector in a configuration such that a charge distribution is detected by at least two pixels and obtaining charge information from the at least two pixels. The method further includes determining a position of an interaction of the charge distribution with the plurality of pixels based on the obtained charge information.

An image processing device of the present invention comprises an image sensor having phase difference detection pixels for focus detection arranged at positions of some imaging pixels, a crosstalk effect level estimating section for estimating crosstalk effect level for respective pixel values, from pixel values of pixels that are subject to the effects of crosstalk from the phase difference detection pixels, and pixel values of nearby pixels that are not subject to the effect of crosstalk from the phase difference detection pixels, and a correction processing section for correcting pixel values of pixels that have been affected by crosstalk from the phase difference detection pixels based on the crosstalk effect level that has been estimated by the crosstalk effect level estimating section.

One particular automatic parameter estimation method and apparatus estimates low level filtering parameters from one or more user controlled high-level filtering parameters. The high level filtering parameters are strength and quality, where strength indicates how much noise reduction will be performed, and quality indicates a tolerance which controls the balance between filtering uniformity and loss of detail. The low level filtering parameters that can be estimated include the spatial neighborhood and / or temporal neighborhood size from which pixel candidates are selected, and thresholds used to verify the “goodness” of the spatially or temporally predicted candidate pixels. More generally, a criterion for filtering digital image data is accessed, and a value is determined for a parameter for use in filtering digital image data, the value being determined based on whether the value results in the criterion being satisfied for at least a portion of a digital image.

In one example embodiment, a method enables, computing, for a first pixel in the digital mosaiced image, the first pixel being characterized by a first color component and a first set of gradient values in a plurality of orientations, gradient values in the plurality of orientations for a second pixel in the neighborhood of the first pixel. Color values in the plurality of orientations corresponding to a second color component associated with the first pixel based on the set of first gradient values are estimated. The first set of gradient values based at least in part on the computed gradient values is updated. One of the plurality of orientations of the estimated color value based on the updated set of first gradient values is selected and one of the estimated color values corresponding to the selected orientation is determined.

The invention provides a deep learning-based traffic sign automatic identifying and marking method, which is used in the technical field of environmental perception of intelligent vehicles. A semantic segmentation structure is adopted for locating and detecting traffic signs, and candidate regions with the traffic signs are obtained, wherein the semantic segmentation structure comprises two parts: an encoding network; and a decoding network and a pixel-based classification layer. Then, the traffic signs in the candidate regions are subjected to classified identification and locating through a convolutional neural network of a quick region. Based on the traffic sign automatic identifying and marking method, the invention furthermore correspondingly provides an effective map navigation information updating method. According to the method, the candidate regions with the traffic signs are located by using the semantic segmentation method, so that a new idea is provided, a training parameter quantity is reduced, the storage space is saved, and the computing time is shortened; and the method is high in identifying accuracy, and can perform relatively accurate traffic sign information updating on map navigation information, thereby better serving drivers conveniently.

A display drive apparatus includes a selection circuit which sets display pixels in a plurality of specific rows of the display panel in a selected state with periods at least overlapping each other. A gradation signal generation circuit generates a gradation signal which controls a luminance gradation of each display pixel based on the display data and sequentially supplies the generated gradation signal in time series. A plurality of signal distribution circuits sequentially distribute the gradation signal supplied by the gradation signal generation circuit in accordance with the plurality of display pixels in each column at the timing of time-series supply. A plurality of current holding circuits individually hold the distributed gradation signal and simultaneously supply as the gradation current a current having a current value based on the held gradation signal to the display pixels in the plurality of specific rows.

A technique for correcting white eye in image data is disclosed. In this technique, a white eye candidate pixel is detected from an eye extracted from the image data based on a predetermined detection condition. The white eye candidate pixel as a white eye pixel based on a predetermined determination condition. Then, white eye correction is effected on the determined white eye pixel by changing its luminance.

A pixel-based display utilizes persistence-of-vision to sweep text and graphics in a cylindrical plane, including time and date, custom messages and animations. The display is generated from a light array with a column of modulated light emitting elements, which is mounted on a rotating display assembly. Power and data are combined on a fixed control assembly and inductively coupled to the display assembly. A control assembly processor interprets a display application language that describes display-specific tasks to generate command, mode, character and graphic data for the display assembly. The control assembly processor also reads a trigger position sensor and adds a trigger delay to generate a virtual trigger command, which provides for flexible display positioning and scrolling display effects.

A pixel based on a pinned-photodiode structure that creates a lateral electric drift field. The combination of the photodiode with adjacent CCD gates enables the utilization of the drift field device in applications such as 3-D imaging. Compared with recently used demodulation devices in CCD or CMOS technology, the new pinned-photodiode based drift field pixel has its advantages in its wide independence of the quantum efficiency on the optical wavelength, its high optical sensitivity, the opportunity of easily creating arbitrary potential distributions in the semiconductor, the straight-forward routing capabilities and the generation of perfectly linear potential distributions in the semiconductor.

An imaging element of a vein imaging apparatus includes a vein image data generation region generating image data of a vein based a near-infrared light that was condensed by a lens array and that was scattered in a living body and transmitted through the vein and a positional displacement detection data generation region that includes a shielded section in which pixels are shielded from the light and an opening section in which pixels are not shielded from the light, and generates data for detecting positional displacement that is used to detect, based on the light received via the opening section, variation in an image focus position according to an imaging temperature. The vein imaging apparatus detects the image focus position of the light and estimates the amount of positional displacement occurred in the apparatus. The vein imaging apparatus selects a pixel based on the obtained amount of positional displacement.