Abstract: Disclosed herein are improvements to pixel pattern conversion, upsampling, and IR decontamination processes. An example includes an image processing pipeline comprising an upstream component, a pattern conversion component downstream with respect to the upstream component in the image processing pipeline, and a downstream component relative to the pattern conversion component. The pattern conversion component is configured to obtain RGB-IR pixel data produced by the upstream component of the image processing pipeline and convert the RGB-IR pixel data into RGB pixel data and IR pixel data using a conversion engine. The conversion engine is configured to demosaic the RGB-IR pixel into the RGB pixel data and the IR pixel data, remosaic the RGB pixel data into an RGB pattern and the IR pixel data into an IR pattern and remove IR contamination from the RGB pixel data of the RGB pattern for use by the downstream component.

Abstract: A method, a non-transitory computer readable medium, and a computer system is provided for encoding or decoding video data. The method may include: receiving video data comprising a chroma component and a luma component; parsing, deriving or selecting a number of presets for the chroma component in one frame, and a number of presets for the luma component in the one frame; and decoding the video data. The method may further comprise: performing a separate Constrained Directional Enhancement Filter (CDEF) process of filtering luma and chroma components independent from each other based on the number of presets for the chroma component in one frame, and the number of presets for the luma component in the one frame.

Abstract: The present disclosure provides an image processing apparatus, and image processing method, and a display apparatus. The image processing apparatus includes a first image processor up-sampling an original low-resolution image on the basis of deep learning-based learning data to generate a first high-resolution image, a second image processor interpolating the original low-resolution image to generate a second high-resolution image, a third image processor generating a difference image between the first high-resolution image and the second high-resolution image, extracting a high frequency component from the difference image, and amplifying the extracted high frequency component, and a fourth image processor adding the amplified high frequency component to the first high-resolution image to generate a target high-resolution image.

Abstract: A tone mapping circuit includes: a tone mapping unit suitable for generating a corrected color image by correcting an input image corresponding to pixel data provided from a pixel array; and a noise removing unit suitable for calculating a deviation of the input image based on the input image and the corrected color image, and removing noise from the corrected color image to generate a new output image.

Abstract: Provided is an image processing apparatus that performs image processing on original image data, the apparatus including a communication transceiver that performs communication with a terminal, a memory that stores parameter information indicating a relationship between image processing-related information transmitted from the terminal and an image processing parameter, and a processor, in which the processor acquires the original image data from an image server that communicates with the image processing apparatus via the communication transceiver, performs, the image processing on the original image data using the image processing parameter corresponding to the image processing-related information based on the parameter information, and transmits image data after the image processing to the terminal via the communication transceiver.

Abstract: Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Abstract: Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Abstract: Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Abstract: An image analyzer unit performs lesion site detection for each tomographic image. In response to a lesion site detection state, the image analyzer unit outputs a position data array and a size data array that represent temporal change in position and size of the lesion site. A rate of change calculator unit calculates a rate of change that represents a degree of temporal change in tomographic image content. A smoother unit smooths the position data array and the size data array in accordance with the rate of change. A mark is generated based on the smoothed position data array and the smoothed size data array.

Abstract: A multiview backlight and multiview display employ an optical mask element having a first portion and a laterally displaced second portion to mitigate Moiré associated with the optical mask element. The multiview backlight includes an array of multibeam unit cells distributed across a light guide. Each multibeam unit cell has a multibeam element configured to scatter out a portion of guided light as a plurality of directional light beams having different directions corresponding to different views of the multiview display. Each multibeam unit cell further includes an optical mask element having the first portion aligned and co-extensive with the multibeam element and the second portion laterally displaced within the multibeam unit cell from the first portion. One or both of the lateral displacement and an overall size of the optical mask element is configured to mitigate Moiréassociated with the optical mask element.

Abstract: A method of a fingerprint sensing system arranged in a smartcard configured to acquire fingerprint data of a user with a fingerprint sensor for biometric authentication, and a fingerprint sensing system performing the method. The method comprises detecting a finger of the user contacting a sensing area of the fingerprint sensor, initializing the fingerprint sensor with a predetermined sensor setting, acquiring a calibration sub-image which is confined in size to a subarea of the sensing area, determining whether or not a quality criterion is met for the acquired calibration sub-image, and if so acquiring one or more further sub-images confined in size to a subarea of the sensing area during a time period when the smartcard is not engaged in waiting time extension request signalling with a card reader, and combining a plurality of the acquired further sub-images into a representation of a fingerprint of the user.

Abstract: Embodiments are disclosed for determining scene-based editing recommendations for video content. A method of determining scene-based editing recommendations for video content includes receiving an input video comprising video content, dividing the input video into the plurality of scenes based on the video content, identifying a representative frame for each scene, determining a plurality of editing settings for each representative frame, determining editing settings for each scene based on an effectiveness score, and generating an output video using the input video and the editing settings for each scene.

Abstract: An image processing system capable of preventing resubmission of a scanned image from being required due to an undesired object which obstructs visibility. The image processing system includes a scanned image generation unit configured to read an original and generate a scanned image of the read original, and submits an image to a management server. A continuous pixel area which includes a plurality of pixels whose pixel values are higher than a predetermined density threshold value and has an area size equal to or larger than a predetermined value is identified from a scanned image. Whether or not the identified continuous pixel area is an area of an undesired object which obstructs visibility is determined. A continuous pixel area determined as the area of an undesired object is notified to a user before the scanned image is submitted to the management server.

Abstract: A feature enhancement and data augmentation method for detecting at least one action of at least one tested subject is provided. The feature enhancement and data augmentation method includes obtaining at least one spectrogram; and performing a feature enhancement processing on the at least one spectrogram, to enhance at least one feature corresponding to at least one action in the at least one spectrogram and generate at least one feature enhanced spectrogram. The feature enhancement processing comprises a directional filtering.

Abstract: The present disclosure describes an image processor of a display device. The image processing includes a pre-processor, a segmentation processor, and a correction processor. The pre-processor performs spatial filtering on an input image signal and output a line image signal. The segmentation processor classifies a class of the line image signal and outputting a segmentation signal representing the class. The correction processor corrects the segmentation signal based on the line image signal. Additionally, the correction processor detects a class boundary of the segmentation signal, detects an edge within an edge region of the line image signal corresponding to the class boundary, and corrects the segmentation signal based on the detected edge.

Abstract: Provided is an image processing apparatus that performs image processing on original image data, the apparatus including a communication unit that performs communication with a terminal, a storage that stores parameter information indicating a relationship between image processing-related information transmitted from the terminal and an image processing parameter, and a processor, in which the processor acquires the original image data, performs, in a case in which an image processing request including the image processing-related information is received from the terminal via the communication unit, the image processing on the original image data using the image processing parameter corresponding to the image processing-related information based on the parameter information, and transmits image data after the image processing to the terminal via the communication unit.

Abstract: An electronic device includes a display, a fingerprint sensor positioned under a specified area of the display, and a processor. The processor is configured to obtain a first image based on a first input, perform authentication associated with biometric information, when a state of the first image meets a first condition, obtain a second image using the fingerprint sensor, when the state of the first image meets a second condition, adjust a setting of the fingerprint sensor, obtain a third image using the fingerprint sensor adjusted from the first value to a second value, and perform authentication associated with the biometric information based on the second image and the third image.

Abstract: There is provided with a filter processing device for performing a convolution operation using a filter on a feature plane. An acquisition unit acquires feature plane data, filter coefficients of the filter, and valid coefficient information which specifies filter coefficients to be used in the convolution operation among the filter coefficients of the filter. A calculation unit performs a convolution operation of the filter coefficients specified by the valid coefficient information and pieces of the feature plane data corresponding to the specified filter coefficients.

Abstract: An imager comprises an image sensor that has a plurality of pixels arranged in rows and columns, wherein each pixel comprises a light-sensitive detector element for generating electric charge from light incident during an exposure, and a reset device to reset charge present in the pixel to a reference value. The imager has a control device that is configured to couple a respective pixel to the associated column line in order to successively output a reference voltage signal, which corresponds to the reference value, and an image voltage signal, which corresponds to the electric charge generated, at the associated column line. The imager has a first analog-to-digital converter and a second analog-to-digital converter. The control device is configured to apply the reference voltage signal to a signal input of the first analog-to-digital converter and to simultaneously apply the image voltage signal to a signal input of the second analog-to-digital converter.

Abstract: A reading device and an image forming apparatus are provided. The reading device includes an image reading device configured to read an image on a recording medium being conveyed, a background device serving as a background image when the image is read by the image reading device, and a foreign-object detector configured to compare a first read image obtained as the background device is read by the image reading device with a second read image obtained as the background device and the recording medium are read by the image reading device to detect an attached foreign object. The image forming apparatus includes the reading device and an image forming device.

Abstract: To improve strength of an imaging module with an adjusted optical axis. An imaging device includes an imaging module and a holding unit. The imaging module provided in the imaging device includes an imaging element that images incident light introduced from an upper surface of a housing. The holding unit provided in the imaging device surrounds and holds a side surface of the imaging module, the side surface being adjacent to the upper surface of the housing. The holding unit surrounds and holds the side surface of the imaging module, thereby protecting the imaging module.

Abstract: An image sensing system includes a pixel array, an analog-to-digital converter circuit, and an average calculator. The analog-to-digital converter circuit converts a first pixel signal to first pixel data and converts a second pixel signal to second pixel data. The average calculator generates a first average bit based on a first bit of the first pixel data and a first bit of the second pixel data during a first time and generates a second average bit based on a second bit of the first pixel data and a second bit of the second pixel data during a second time.

Abstract: Methods are described to communicate source color volume information in a coded bitstream using SEI messaging. Such data include at least the minimum, maximum, and average luminance values in the source data plus optional data that may include the color volume x and y chromaticity coordinates for the input color primaries (e.g., red, green, and blue) of the source data, and the color x and y chromaticity coordinates for the color primaries corresponding to the minimum, average, and maximum luminance values in the source data. Messaging data signaling an active region in each picture may also be included.

Abstract: An image debanding method includes selecting a first and a second comparison pixel from a plurality of adjacent pixels within a preset pixel distance range in a straight pixel direction according to each of the plurality of adjacent pixels and the to-be-compensated pixel; calculating a first compensation value according to a first difference between pre-debanding color values of the first comparison pixel and the to-be-compensated pixel, a first pixel distance between the first comparison pixel and the to-be-compensated pixel, and the preset pixel distance range; calculating a second compensation value according to a second difference between the pre-debanding color values of the second comparison pixel and the to-be-compensated pixel, a second pixel distance between the second comparison pixel and the to-be-compensated pixel, and the preset pixel distance range; and calculating a post-debanding color component value of the to-be-compensated pixel.

Abstract: A method for automatically detecting errors in at least one data entry in a database, the at least one data entry including an input string of characters that do not match at least one predefined string of characters. The method includes generating a first image map; generating at least one classification parameter by comparing the first image map to a second image map, the second image map based at least partially on the predefined string of characters; determining that the input string of characters correlates to the predefined string of characters; and modifying the at least one data entry to match the predefined string of characters in response to determining that the input string of characters correlates to the predefined string of characters. Various other methods and systems for automatically detecting errors in at least one data entry in a database are also disclosed.

Abstract: A method, a non-transitory computer readable medium, and a computer system is provided for encoding or decoding video data. The method may include: receiving video data comprising a chroma component and a luma component; parsing, deriving or selecting a number of presets for the chroma component in one frame, and a number of presets for the luma component in the one frame; and decoding the video data. The method may further comprise: performing a separate Constrained Directional Enhancement Filter (CDEF) process of filtering luma and chroma components independent from each other based on the number of presets for the chroma component in one frame, and the number of presets for the luma component in the one frame.

Abstract: The present application relates to a correction method for a display panel and a display device, including: after dividing a common electrode layer of a display panel into at least one region, applying corresponding initial voltage to each region and measuring the initial voltages; and then according to a preset voltage, firstly coarsely adjusting the initial voltage of a color shift region, and then finely adjusting a data voltage of a sub-pixel corresponding to each sub-pixel in the color shift region.

Abstract: A method, computer program, and computer system is provided for video coding. Video data including one or more frames is received. A static background is estimated for each of the one or more frames based on a temporal average of the one or more frames. Pixels from among the one or more frames are identified as corresponding to the static background. Noise is removed in the static background based on the identified pixels.

Abstract: Advanced driver assistance systems can be designed to recognize and to classify traffic signs under real time constraints, and under a wide variety of visual conditions. This disclosure provides techniques that employ binary masks extracted by color space segmentation, with a different binary mask generated for each sign shape. Temporal tracking is employed to add robustness to the detection system. The system is generic, and is trainable to the traffic signs used in various countries.

Abstract: In a first aspect, the invention relates to a method for improving an image quality when printing an electronic image file by a user, the method comprising (a) receiving an original electronic image file from a user, (b) generating a modified electronic image file, and (c) providing the modified image file to the user. In particular, other printing data are also received from the user, which printing data comprise at least a printer model and optionally a firmware version according to a non-limiting embodiment, in which the modified image file is generated taking into account said printer data. In a further aspect, the invention relates to a computer-implemented system.

Abstract: A method for determining similarity of adjacent rows of an image, the method includes: obtaining feature value of corresponding sub-pixel of each row of image data in a frame of image data; compressing obtained feature values of the corresponding sub-pixels of each row of image data to obtain compressed feature values of the corresponding sub-pixels of each row of image data; subtracting compressed feature values of corresponding sub-pixels of two adjacent rows of image data in the frame of image data, and summing absolute values of multiple differences obtained from subtracting; and determining similarity of the two adjacent rows of image data in the frame of image data according to the summed value. The present application further provides a display device.

Abstract: There is provided a parcel recognition device that recognizes a parcel based on an image including the parcel, the device including: a processor; and a memory, in which by cooperating with the memory, the processor recognizes a person in a recognition target space in the image, subtracts a space within a predetermined range including at least a part of the recognized person from the recognition target space, and recognizes the parcel by using a space obtained by the subtraction as a new recognition target space.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored computer-readable instructions that, when executed by the processor, may cause the processor to determine a property of dust based on information associated with the dust in a printing device. The processor may classify the dust according to the determined property of the dust and may determine a predicted failure mode associated with the dust classification. The processor may output an instruction associated with the predicted failure mode.

Abstract: A reading device includes: a light source that irradiates a subject with scanning light; a light receiving section that receives reflection light from the subject; and circuitry to: control the light source to switch on and off of the scanning light; control the light receiver to receive the reflection light from the subject for a predetermined acquisition time at a predetermined acquisition interval so as to acquire data; and calculate a difference between the data acquired while the scanning light is switched on and the data acquired while the scanning light is switched off. The predetermined acquisition time and the predetermined acquisition interval are set such that the acquisition time or a total time of the acquisition time and the acquisition interval become an integer multiple of a fluctuation cycle of a fluctuation factor.

Abstract: Processing raw image data in a camera includes computing a luminance image from the raw image data, and computing a chrominance image corresponding to at least one of the sensor's image colors from the raw image data. The luminance image and chrominance image(s) can represent the same range of colors able to be represented in the raw image data. The chrominance image can have a lower resolution than that of the luminance image. A camera for performing the method is also disclosed.

Abstract: A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.

Abstract: A video encoder and decoder are described. The encoder operates on luma data and chroma data. The luma data is split into two channels. The channel split can be based on frequency regions or based on even and odd lines. When the channel split is based on frequency regions, the encoder produces a channel with low frequency data and a channel with high frequency data. A third channel holds chroma data. The decoder recovers the split luma data and the third channel of chroma data. The decoder may then generate one or more pixels to be stored in a line buffer.

Abstract: Provided are an image processing apparatus and method for decreasing an amount of power consumed to display an image. The image processing apparatus includes: an input interface configured to input image data; at least one processor configured to obtain an output pixel value by adjusting at least one selected from luminance, resolution, and precision regarding a portion of the image data; and an output interface configured to output image data including the obtained output pixel value.

Abstract: A method and an apparatus for outputting an image by using a color filter array (CFA) sensor are provided. The method includes receiving a 4-channel combination image signal through the CFA sensor, and separating the 4-channel combination image signal into a visible image signal and a near-infrared image signal, based on a signal separation coefficient including a color coefficient that is determined to convert 4-channel color data into 3-channel color data and a weight coefficient that is determined based on a 4-channel signal configured of near-infrared image signals. The method further includes outputting the visible image signal and the near-infrared image signal.

Abstract: The image processing method includes acquiring an input image produced by image capturing using an optical system, acquiring a first noise amount contained in the input image, performing a resolution enhancement process on the input image, performing frequency decomposition of the input image into multiple decomposed images that are mutually different frequency band components, and calculating, on a basis of the first noise amount and a frequency characteristic of the resolution enhancement process, a second noise amount contained in each of areas of each of the multiple decomposed images. The method further includes performing a noise reduction process on each area of each decomposed image on a basis of the second noise amount calculated for that area, and combining the multiple decomposed images each subjected to the noise reduction process together.

Abstract: Various embodiments of the present technology may comprise methods and systems image sensors. The methods and systems may comprise selectively activating either high or low conversion gain mode for a predetermined number of rows by comparing pixel row data to predetermined threshold values prior to image signal processing.

Abstract: A display control apparatus, including a histogram constructer configured to construct a histogram based on a gray value of each pixel of an input image signal, a maximum value determiner configured to determine a maximum value of an output image signal based on the input image signal, and a mapping curve determiner configured to determine a mapping curve for generating the output image signal from the input image signal, based on the histogram and the maximum value.

Abstract: A method of reducing image resolution in a deep convolutional network (DCN) includes dynamically selecting a reduction factor to be applied to an input image. The reduction factor can be selected at each layer of the DCN. The method also includes adjusting the DCN based on the reduction factor selected for each layer.

Abstract: Embodiments of the invention include a device for reducing noise. The device may include a storage configured to store noise data; a processor configured to: classify a segment of noise utilizing noise data which was accumulated prior to initiation of a communication session; estimate the segment of noise, utilizing information received from the noise classification; and select a noise profile which accounts for a user's current context based on a context defined by the data which was accumulated prior to initiation of the communication session.

Abstract: Disclosed is a method for determining edges of an overlapping region between a color filter and a black matrix, which comprises the following steps. An original gray-scale value curve and a differential gray-scale value curve of the measurement area to be detected are drawn, and extremums of the differential gray-scale value curve are determined. A gray-scale value of the overlapping region between the color filter and the black matrix is obtained. A threshold value is established. Two extremums of the differential gray-scale value curve which are the closest to the two intersections respectively are obtained, and then the edges of the overlapping region between the color filter and the black matrix are determined based on the two extremums.

Abstract: According to one aspect, a system for processing a document image is disclosed. In an exemplary embodiment, the system includes an edge-detection unit configured to identify an edge of a document from a document image. The system also includes a keystone-correction unit and a flattening unit. The keystone-correction unit is configured to correct keystone distortion in the document image. The flattening unit is configured to flatten content of the document in the document image.

Abstract: An information processing apparatus has a decomposition unit that decomposes an image into multiple frequency component images, a reduction unit that reduces linear noise included in the frequent component images, and a reconstruction unit that reconstructs the frequency component images with reduced linear noise.

Abstract: An image reading device includes a transport path along which a medium having an image recorded thereon is transported; a light source member that radiates light onto the medium passing a predetermined read position in the transport path; a reading member that receives light from the read position and reads the image on the medium; a detecting member that is disposed in the transport path and that detects the medium; and a notifying member that notifies a user that the medium is jammed based on a detection result of the detecting member. The light source member is turned on when the medium is jammed based on the detection result of the detecting member.

Abstract: An image reading device includes a plate on which a document to be scanned is placed, a cover that is movable between an open position and a closed position at which the cover contacts the document, a position detecting unit configured to detect a position of the cover, an imaging unit configured to emit light towards the plate and having an image sensor configured to detect light reflected by the document, and a control unit configured to determine a size of the document based on a detection result of the position detecting unit and a detection result of the image sensor.

Abstract: A method for three-dimensional reconstruction of a scene includes: controlling a projection source to emit invisible light toward the scene; while the projection source is emitting light: controlling a first multi-channel image sensor to capture a first image, the first multi-channel image sensor including visible light detecting pixels and invisible light detecting pixels, the first image including a first invisible light channel and a first visible light channel; controlling a second multi-channel image sensor to capture a second image substantially simultaneously as the capture of the first image, the second multi-channel image sensor including visible light detecting pixels and invisible light detecting pixels, the second image including a second invisible light channel and a second visible light channel; performing stereo analysis of the first image and the second image in accordance with the invisible light channels and the visible light channels to generate a depth map.