Abstract: An image encoding/decoding method using a pixel value range constituting an image is disclosed, wherein the image decoding method using a pixel value range constituting an image comprises the steps of: receiving a bitstream; acquiring information of a pixel value range forming a first unit image included in the received bitstream; and decoding the first unit image on the basis of the acquired information of the pixel value range. Therefore, compression efficiency can be improved in an image encoding or decoding process.

Abstract: A method, computer program, and computer system is provided for coding a video sequence. Video information corresponding to one or subpictures within a picture is received. A first subpicture is identified from among the one or more subpictures as a region of interest. The first subpicture corresponding to the region of interest is encoded in a high quality mode. One or more other subpictures from among the one or more subpictures is encoded in a low quality mode. The first encoded subpicture and the encoded one or more other subpictures are output with one or more output layer sets.

Abstract: A method comprises obtaining a pathology image set using a microscope, the pathology image set including at least a to-be-evaluated image and one or more associated images, the associated images and the to-be-evaluated image are consecutive frame images acquired using the microscope. The method comprises determining a first status corresponding to the to-be-evaluated image according to the pathology image set, the first status being used for indicating a motion change of the to-be-evaluated image during the acquisition and the first status includes a plurality of predefined states. The method comprises in accordance with a determination that the first status corresponds to a static state of the plurality of predefined states, determining a second status corresponding to the to-be-evaluated image, the second status indicating a change in image clarity of the to-be-evaluated image. This application further discloses an image status determining apparatus, a device, and a computer storage medium.

Abstract: A method for lossy image or video encoding, transmission and decoding, the method comprising the steps of: receiving an input image at a first computer system; encoding the input image using a first trained neural network to produce a latent representation; identifying one or more regions of the input image associated with high visual sensitivity; encoding the one or more regions of the input image associated with high visual sensitivity using a second trained neural network to produce one or more region latent representations; performing a quantization process on the latent representation and the one or more region latent representations; transmitting the result of the quantization process to a second computer system; decoding the result of the quantization process to produce an output image, wherein the output image is an approximation of the input image.

Abstract: An encoder includes circuitry and a memory coupled to the circuitry. The circuitry, in operation, determines whether or not a ternary split process of splitting a block into three sub blocks in a first direction parallel to a first longer side of the block is allowed by comparing a size of a second shorter side of the block to a minimum threshold value. The circuitry, responsive to the ternary split process being allowed, writes, into a bitstream, a split direction parameter indicative of a splitting direction. The circuitry, in operation, splits the block into a plurality of sub blocks in a direction indicated by the split direction parameter; splits the block into a plurality of sub blocks in a second direction parallel to the second shorter side of the block when the ternary split process is not allowed; and encodes the plurality of sub blocks.

Abstract: An example method of encoding a point cloud includes obtaining a value of a secondary residual for geometry coding a current predictive tree node of the point cloud; and encoding the value of the secondary residual, wherein encoding the value comprises: encoding, using a first set of context-adaptive binary arithmetic coding (CABAC) contexts, prefix bins of a syntax element having a value that specifies an absolute value of the value of the secondary residual minus 2; and encoding, using a second set of CABAC contexts that is different than the first set of contexts, suffix bins of the syntax element.

Abstract: Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Abstract: A display method includes a first terminal connecting to a second terminal and obtaining a first gesture made by a user on a target shortcut in a first display interface, where the first display interface is an interface presented on the first terminal, and where target content corresponding to the target shortcut is not running in a foreground of the first terminal. Then, the first terminal sends first display data to the second terminal based on the first gesture, so that the second terminal displays the first display data in a second display interface, where the first display data is data correlated with the target content, and where the second display interface is an interface presented on the second terminal.

Abstract: A three-dimensional data encoding method includes: determining whether a first valid node count is greater than or equal to a first threshold value predetermined, the first valid node count being a total number of valid nodes that are nodes each including a three-dimensional point, the valid nodes being included in first nodes belonging to a layer higher than a layer of a current node in an N-ary tree structure of three-dimensional points included in point cloud data, N being an integer greater than or equal to 2; and, when the first valid node count is greater than or equal to the first threshold value, performing first encoding on attribute information of the current node, the first encoding including a prediction process in which second nodes are used, the second nodes including a parent node of the current node and belonging to a same layer as the parent node.

Abstract: In some examples, a method of decoding a point cloud includes decoding an initial QP value from an attribute parameter set. The method also includes determining a first QP value for a first component of an attribute of point cloud data from the initial QP value. The method further includes determining a QP offset value for a second component of the attribute of the point cloud data and determining a second QP value for the second component of the attribute from the first QP value and from the QP offset value. The method includes decoding the point cloud data based on the first QP value and further based on the second QP value.

Abstract: A fixed wireless access system is implemented using orthogonal time frequency space multiplexing (OTFS). Data transmissions to/from different devices share transmission resources using—delay Doppler multiplexing, time-frequency multiplexing, multiplexing at stream and/or layer level, and angular multiplexing. Time-frequency multiplexing is achieved by dividing the time-frequency plan into subgrids, with the subsampled time frequency grid being used to carry the OTFS data. Antenna implementations include a hemispherical antenna with multiple antenna elements arranged in an array to achieve multiplexing.

Abstract: A non-tracking solar sensor device and systems. The non-tracking solar sensor system includes a transparent hemispherical dome enclosure for receiving light. A diffuser is disposed with the enclosure for diffusing the light. A photodiode sensor array senses at least one discrete wavelength of the diffused light. A data acquisition module is configured to receive a sensor signal from the sensor array, the signal indicative of light quality at least one discrete wave band for processing via a processor module.

Abstract: A video processing method is provided. In the method, at least one pair of decoded blocks to be reconstructed in a video frame is determined. Each pair of decoded blocks in the at least one pair of decoded blocks includes a first decoded block of a first resolution and a second decoded block of a second resolution. The first decoded block is adjacent to the second decoded block. The first resolution of the first decoded block is adjusted to a target resolution. The second resolution of the second decoded block is adjusted to the target resolution. A first edge pixel set in the first decoded block is determined. A second edge pixel set in the second decoded block is determined, the second edge pixel set being adjacent to the first edge pixel set. Further, the first edge pixel set and the second edge pixel set are filtered.

Abstract: In some embodiments, a data processing method for generating a synthetic view rendering of a custom product, the method comprises: generating a calibrated product renderings asset of a referenced physical product by: based on user input received for a digital asset corresponding to the referenced physical product, generating user-driven settings for a plurality of product option parametric key-values, applying the plurality of product option parametric key-values to the digital asset to generate the calibrated product rendering asset; rendering the calibrated product rendering asset using a coverage buffer and a coverage map to generate a final image; causing displaying the final image on a display device.

Abstract: A method for performing deterministic data processing through Artificial Intelligence (AI) is disclosed. The method may include generating, via a deep learning network, a set of input feature vectors based on input data for a deterministic data processing model. The method may further include providing the set of input feature vectors to a trained AI model. The trained AI model may generate a set of output feature vectors that may correspond to an output data of the deterministic data processing model. The method may further include determining a variation between the set of output feature vectors and the output data, and iteratively performing incremental learning of the AI model based on the determined variation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method includes: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair including key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

Abstract: A method, computer program, and computer system is provided for decoding point cloud data. Data corresponding to a point cloud is received. A number of contexts associated with the received data is reduced based on occupancy data corresponding to one or more parent nodes and one or more child nodes within the received data. The data corresponding to the point cloud is decoded based on the reduced number of contexts.

Abstract: An apparatus for performing artificial intelligence (AI) encoding on an image includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: determine a resolution of an original image; when the resolution of the original image is higher than a predetermined value, obtain a first image by performing AI downscaling on the original image via a downscaling deep neural network (DNN); when the resolution of the original image is lower than or equal to the predetermined value, obtain a first image by performing AI one-to-one preprocessing on the original image via a one-to-one preprocessing DNN for upscaling; generate image data by performing first encoding on the first image; and transmit the image data and AI data including information related to the AI downscaling or information related to the AI one-to-one preprocessing.

Abstract: A test and measurement instrument includes an acquisition memory and a processor structured to store a stream of sampled incoming data samples in the acquisition memory. As the memory fills, the instrument automatically decimates either the data samples already stored in the acquisition memory, the incoming data samples, or both. The instrument may also store two copies of the incoming data samples, one at an increased decimation rate. The two copies are tied together with a timestamp or using other methods. The more highly decimated copy may be used to produce a video output of the stored data samples, saving the instrument from generating the video output from the larger sized sample.

Abstract: Transcoding bitrate prediction techniques can include receiving a first encoded content. A transcoder bitrate can be estimated based on regression over a video quality estimator of the first encoded content and a second encoded content. The estimated transcoder bitrate can be utilized to transcoding the first encoded content into the second encoded.

Abstract: A point cloud model reconstruction method, an encoder, and a decoder are provided. The method includes the following. An i-th segmentation position of an i-th three-dimensional slice on a longest edge in a point cloud space is obtained, where 1?i?n?1 and n is a total number of three-dimensional slices to-be-processed. An i-th cube block set nearest to the i-th segmentation position in the i-th three-dimensional slice is determined based on the i-th segmentation position and a preset cube block length. An i-th vertex position with a cube block in the i-th cube block set is determined along the longest edge, where the i-th vertex position represents a position of a vertex on an edge which is away from a start position of the cube block by the preset cube block length. A point cloud model is reconstructed based on the i-th vertex position.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for channel-wise autoregressive entropy models. In one aspect, a method includes processing data using a first encoder neural network to generate a latent representation of the data. The latent representation of data is processed by a quantizer and a second encoder neural network to generate a quantized latent representation of data and a latent representation of an entropy model. The latent representation of data is further processed into a plurality of slices of quantized latent representations of data wherein the slices are arranged in an ordinal sequence. A hyperprior processing network generates a hyperprior parameters and a compressed representation of the hyperprior parameters. For each slice, a corresponding compressed representation is generated using a corresponding slice processing network wherein a combination of the compressed representations form a compressed representation of the data.

Abstract: The present invention relates to a device and a method for processing and transmitting image data in a wireless AV system. The present specification provides a device comprising: an external device interface unit configured to receive an external input signal including an actual image (an actual picture); a control unit connected to the external device interface unit and configured to detect the external input signal and produce information on the external input signal; an image processing unit connected to the control unit, receiving, from the control unit, at least one among the external input signal and the information on the external input signal, determining an image compressibility on the basis of the information on the external input signal, and outputting a compressed image based on the determined image compressibility; and a communication unit for transmitting the compressed image through a wireless channel.

Abstract: A printing control apparatus that reduces time and effort in security management for printing. The printing control apparatus is configured to communicate with a cloud storage that stores a plurality of print data with different degrees of confidentiality in different storage locations according to the degrees of confidentiality. The printing control apparatus receives a printing instruction and obtains installation location information indicating an installation location of a printing apparatus designated in the printing instruction, and storage location information indicating a storage location of print data designated in the printing instruction. Based on the storage location information and the installation location information, it is determined whether or not printing of the designated print data is allowed. When it is determined that printing of the designated print data is allowed, the designated print data is obtained from the cloud storage, and the obtained print data is printed.

Abstract: A system, method, and computer readable medium for determining authenticity of digital content. The system includes obtaining a video including a plurality of intermediate video frames with respective digital signatures, each video frame of the plurality of intermediate video frames associated with a respective digital signature. The digital signature is generated based at least in part on the image content of the video frame and a hash value of a previous video frame in the same video. Based on using a cryptographic key associated with a recording device used to capture the video, the system can determine authenticity of the content and the ordering of the frames within a video.

Abstract: A method and system are used for managing and classifying electronic document images. Each of the electronic document images is divided into an array of image segments. The method extracts image features from each of the image segments to obtain numerical coefficients for each of the image segments. The numerical coefficients are compared with each other to generate sub-codes. A classification code is determined as a combination of the sub-codes. The classification codes of a plurality of electronic document images can be stored in a database for further analysis. Based on the classification codes, similarity rates between at two document images can be determined.

Abstract: Techniques for coding and decoding video may include predicting picture regions defined by a time-varying tessellation and/or by a tessellation that varies spatially within a picture. These techniques improve decoded video quality, for example, by reducing block-based visual artifacts. Tessellation patterns may be irregular spatially to prevent alignment of some prediction region boundaries within a picture. Tessellation patterns may vary over time based on a spatial offset value, and the spatial offset value may be determined via a modulo function. Tessellation patterns may include overlapped shapes, for example when used in conjunction with overlapped block motion compensation.

Abstract: Provided is a decoding apparatus including: a communication interface configured to receive AI encoding data generated as a result of artificial intelligence (AI) down-scaling and first encoding of an original image; a processor configured to divide the AI encoding data into image data and AI data; and an input/output (I/O) device, wherein the processor is further configured to: obtain a second image by performing first decoding on a first image obtained by performing AI down-scaling on the original image, based on the image data; and control the I/O device to transmit the second image and the AI data to an external apparatus. In some embodiments, the external apparatus performs an AI upscaling of the second image using the AI data, and displays the resulting third image.

Abstract: An approach for reconstructing a current Network Abstraction Layer (NAL) unit for video decoding using at least one processor includes determining the current NAL unit to be an Intra Random Access Picture (IRAP) NAL unit; determining whether a previous NAL unit decoded immediately before the current NAL unit indicates an end of a coded video sequence (CVS); based on determining that the previous NAL unit indicates the end of the CVS, decoding the current NAL unit as one from among an Instantaneous Decoder Refresh (IDR) NAL unit or a Broken Link Access (BLA) NAL unit; and based on determining that the previous NAL unit does not indicate the end of the CVS, decoding the current NAL unit as a Clean Random Access (CRA) NAL unit, and reconstructing the decoded current NAL unit.

Abstract: An information providing method receives, from a terminal apparatus, terminal position information representative of a position of the terminal apparatus; identifies, from among a plurality of pieces of distribution information stored in a reference table in which correspondences between the plurality pieces of distribution information and a plurality of pieces of sound output position information are registered, a piece of distribution information corresponding to a piece of sound output position information identified based on the position of the terminal apparatus represented by the received terminal position information; and transmitting the identified piece of distribution information to the terminal apparatus.

Abstract: Disclosed is a skeleton-based dynamic point cloud estimation system for sequence compression, capable of generating a three-dimensional skeleton and a motion vector thereof from a group of point cloud frames to estimate a point cloud of a next frame, and compressing a point cloud sequence by obtaining a residual between the estimated point cloud and an original point cloud. Since the point cloud is estimated by using the motion vector of the skeleton, and the sequence is compressed by using a difference from an original value as the residual, an amount of point clouds to be input to a compressor is significantly reduced, so that compression efficiency is improved.

Abstract: A mixed reality system that includes a device and a base station that communicate via a wireless connection The device may include sensors that collect information about the user's environment and about the user. The information collected by the sensors may be transmitted to the base station via the wireless connection. The base station renders frames or slices based at least in part on the sensor information received from the device, encodes the frames or slices, and transmits the compressed frames or slices to the device for decoding and display. The base station may provide more computing power than conventional stand-alone systems, and the wireless connection does not tether the device to the base station as in conventional tethered systems. The system may implement methods and apparatus to maintain a target frame rate through the wireless link and to minimize latency in frame rendering, transmittal, and display.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include the steps of providing a computing device associated with a plurality of user; receiving output data transmitted from a target unit; analyzing the output data; transmitting a plurality of interaction commands; transmitting the plurality of interaction commands to an application or operating system; determining a plurality of identifying key words; dynamically determining a configuration screen image based on an identification of the plurality of identifying key words associated with the plurality of graphical user interface displays; automatically selecting a configuration setting associated with the plurality of interactive image elements based on the configurations screen image; and executing a plurality of ameliorative actions associated with the configuration setting.

Abstract: Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.

Abstract: An image decoding apparatus obtain pieces of coded data that is included in a bitstream and generated by coding tiles. Tile boundary independence information is further obtained from the bitstream, with the tile boundary independence information indicating whether each of boundaries between the tiles is one of a first boundary or a second boundary. The pieces of coded data are decoded to generate image data of the tiles. Image data of a first tile is generated by decoding a first code string included in first coded data with reference to decoding information of a decoded tile when the tile boundary independence information indicates the first boundary, and by decoding the first code string without referring to the decoding information of the decoded tile when the tile boundary independence information indicates the second boundary.

Abstract: Disclosed herein is a method of creating an image stitching workflow including acquiring 360-degree virtual reality (VR) image parameters necessary to makes a request for image stitching and create the image stitching workflow, acquiring a list of functions applicable to the image stitching workflow, creating the image stitching workflow based on functions selected from the list of functions, determining the number of media processing entities necessary to perform tasks configuring the image stitching workflow and generating a plurality of media processing entities according to the determined number of media processing entities, and allocating the tasks configuring the image stitching workflow to the plurality of media processing entities.

Abstract: A label switching router for a switching network configured for source routing can be configured to modify one or more reported properties of a link associated with that router based on one or more link quality metrics. For example, a router can include a link with available bandwidth of 10 Gbps, a value that can be used by a headend when evaluating nodes of the network against a set of constraints required by a particular requested connection or tunnel. A link of that router may exhibit an increased bit error rate which can be used by the label switching router to artificially deflate available bandwidth, thereby reducing the number of label switching paths including the router are selected by the headend.

Abstract: Techniques for synchronized out-of-order live video encoding are described. As one example, a computer-implemented method includes receiving a first real-time encoded live video, that is in a coded order that is different than a display order, at a content delivery service from a contribution encoder at a different location than the content delivery service, performing, in the coded order, a real-time decode of the first real-time encoded live video by a distribution decoder of the content delivery service to generate a decoded video in the coded order, performing, in the coded order, a real-time encode of the decoded video by a distribution encoder of the content delivery service to generate a second real-time encoded video in the coded order without waiting on a reordering of the decoded video into the display order, and transmitting the second real-time encoded video in the coded order to a client device.

Abstract: A method for compressing display data is disclosed. The method comprises performing a wavelet transformation to obtain a general approximation coefficient and a plurality of detail coefficients for a group of pixels; determining whether to prioritise transmission of the general approximation coefficient over transmission of the detail coefficients based on whether there are sufficient resources available to enable a corresponding image frame to be ready for display and/or based on a time since the detail coefficients for a corresponding group of pixels were previously transmitted.

Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.

Abstract: A data-sparsity homogenizer includes a plurality of multiplexers and a controller. The plurality of multiplexers receives 2N bit streams of non-homogenous sparse data in which the non-homogenous sparse data includes non-zero value data clumped together. The plurality of multiplexers is arranged in 2N rows and N columns. Each input of a multiplexer in a first column receives a respective bit stream of the 2N bit streams of non-homogenized sparse data, and the multiplexers in a last column output 2N bit streams of sparse data that is more homogenous than the non-homogenous sparse data of the 2N bit streams. The controller controls the plurality of multiplexers so that the multiplexers in the last column output the 2N channels of bit streams of sparse data that is more homogeneous than the non-homogenous sparse data of the 2N bit streams.

Abstract: Provided are a display driving chip, a display apparatus and a display driving method. The display driving chip includes a gaze tracker, an image receiver, an image parser and an image driver, wherein the gaze tracker is configured to achieve real-time locating for the pupil center of human eyes and real-time calculation for gaze point coordinates, and output the gaze point coordinates of human eyes to the image parser; the image receiver is configured to receive image data to be played through a first image interface and input the image data to be played to the image parser; the image parser is configured to compress or decompress the image data to be played according to the gaze coordinates of human eyes and output the image data to the image driver.

Abstract: Apparatuses, methods, systems, and program products are disclosed for watermark security. An apparatus includes a watermark module configured to generate a digital watermark to be presented as part of a graphical interface based on data presented on the graphical interface. A digital watermark verifies an authenticity of data to be presented in a graphical interface. An apparatus includes a presentation module configured to embed the digital watermark into the graphical interface prior to the data being presented in the graphical interface such that the digital watermark is graphically imperceptible to a user, dynamically update the digital watermark during runtime in response to detecting a change in the at least a portion of the data that is encoded into the digital watermark, and re-embed the digital watermark into the graphical interface in response to the digital watermark being updated.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.

Abstract: A data-sparsity homogenizer includes a plurality of multiplexers and a controller. The plurality of multiplexers receives 2N bit streams of non-homogenous sparse data in which the non-homogenous sparse data includes non-zero value data clumped together. The plurality of multiplexers is arranged in 2N rows and N columns. Each input of a multiplexer in a first column receives a respective bit stream of the 2N bit streams of non-homogenized sparse data, and the multiplexers in a last column output 2N bit streams of sparse data that is more homogenous than the non-homogenous sparse data of the 2N bit streams. The controller controls the plurality of multiplexers so that the multiplexers in the last column output the 2N channels of bit streams of sparse data that is more homogeneous than the non-homogenous sparse data of the 2N bit streams.

Abstract: Systems and methods for encoding multiple video streams with digital watermarking for adaptive bitrate streaming in accordance with embodiments of the invention are disclosed.

Abstract: Support for additional components may be specified in a coding scheme for image data. A layer of a coding scheme that specifies color components may also specify additional components. Characteristics of the components may be specified in the same layer or a different layer of the coding scheme. An encoder or decoder may identify the specified components and determine the respective characteristics to perform encoding and decoding of image data.

Abstract: Embodiments of an electronic device include an integrated circuit, a reconfigurable stream switch formed in the integrated circuit along with a plurality of convolution accelerators and a decompression unit coupled to the reconfigurable stream switch. The decompression unit decompresses encoded kernel data in real time during operation of convolutional neural network.

Abstract: In one example, an apparatus is provided. The apparatus includes a photodiode, a charge sensing unit, an analog-to-digital converter (ADC), and a controller. The controller is configured to: enable the photodiode to generate charge in response to incident light, accumulate at least a portion of the charge as residual charge until the photodiode becomes saturated by the residual charge, and transfer the remaining portion of the charge to the charge sensing unit as overflow charge if the photodiode becomes saturated by the residual charge. The controller is further configured to: generate, using the ADC, a first digital output based on the residual charge; after generating the first digital output, generate, using the ADC, a second digital output based on the overflow charge; and generate a digital representation of an intensity of the incident light based on at least one of the first digital output or the second digital output.

Abstract: If an image read by an image reading unit is formed by an image forming unit, a control unit synthesizes a first encoded image and a second encoded image with the image formed by the image forming unit to generate a synthetic image, the first encoded image representing encoded data where reading setting information used for the image reading unit to read the image is encoded, the second encoded image representing encoded data where forming setting information used for the image forming unit to form the image is encoded, the first encoded image being synthesized at a position where a direction in which the document is read by the image reading unit is specifiable, and the second encoded image being synthesized at a position where a direction in which the image is formed on the sheet is specifiable. The image forming unit forms the synthetic image on the sheet.