Abstract: A wrinkle detection method includes: obtaining an original image, where the original image includes a face; adjusting a size of an ROI region on the original image to obtain at least two ROI images of different sizes, where the ROI region is a region in which a wrinkle on the face is located. A terminal device processes all the at least two ROI images of different sizes to obtain at least two binary images, where a white region in each binary image is a region in which a wrinkle is suspected to appear. The terminal device fuses the at least two binary images to obtain a final image, where a white region on the final image is recognized as a wrinkle.

Abstract: A system for merging a plurality of image sources into a single image stream defines a predistortion image mask for each source. Each mask defines a distorted image space to account for distortion in the display optics, and indicates a region or regions in the desired output image where one merge method should be used versus another (e.g., overlay vs. replace). Each source mask may have a separate level of granularity according to the requirements of the included image and corresponding distortion.

Abstract: Methods and systems for generating new product images are disclosed. In one aspect, a method includes identifying, via hardware processing circuitry, a template for a category of products, the template defining locations of attributes of products belonging to the category, identifying, via the hardware processing circuitry, common attributes of products of the category based on the template, averaging, via the hardware processing circuitry, corresponding pixel values across images representing the products having the common attributes, generating, via the hardware processing circuitry, a new product image representing a new product based on the averaged pixel values; and generating, via the hardware processing circuitry, a modified new product image by varying attributes of the new product based on the locations of the attributes defined by the template.

Abstract: The present disclosure relates to systems and methods for image processing. The methods may include obtaining, by a first processor, a first image and a second image of a target region. The methods may further include generating, by the first processor, a fused image based on the first image and the second image. The methods may further include identifying, by a second processor, a region of interest (ROI) associated with a target object in the first image. And the method may also include generating, by the second processor, a target image based at least in part on information associated with the ROI in the first image and the fused image.

Abstract: A system and method is provided for rendering key and fill video streams for video processing. The system includes a database that stores video data including a video stream of a sequence of images and alpha data defining transparency levels for each portion of each image. An encoder encodes each frame of the sequence of images to generate encoded composite frames that each contain a fill portion and a key portion, such that each encoded composite frame includes both the fill and key portions that are disposed horizontally and side-by side with respect to each other. A renderer having a single decoder decodes each encoded composite frame to extract pixel values from the fill portion and respective transparency levels from the key portion and in order to generate a proxy of the respective frame to be displayed by a video processing device.

Abstract: Provided are an image fusion method and apparatus, and a portable terminal. The method comprises: obtaining several aligned images; respectively calculating gradient information of each image; setting a mask image of each image, and generating a target gradient image; performing a gradient operation on the target gradient image, and obtaining a target Laplacian image; performing a deconvolution transform on the Laplacian image, and generating a fused panoramic image. The technical solution generates a Laplacian image by performing gradient information calculations on several images, and then performs a deconvolution transform to generate a fused panoramic image, thereby eliminating image stitching color differences, and implementing a better image fusion effect.

Abstract: An adapter configured to be optically coupled to a plurality of microscopes. The adapter includes a) a first microscope interface configured to optically couple a first microscope to an optical element in optical communication with an optical probe; b) a second microscope interface configured to optically couple a second microscope to the optical element in optical communication with the optical probe; and c) an optical arrangement configured to direct light collected from a sample with aid of the optical probe to (1) the first microscope and second microscope simultaneously, or (2) the first microscope or second microscope selectively.

Abstract: Systems and method directed to generating a stylized image are disclosed. In particular, the method includes, in a first data path, (a) applying first stylization to an input image and (b) applying enlargement to the stylized image from (a). The method also includes, in a second data path, (c) applying segmentation to the input image to identify a face region of the input image and generate a mask image, and (d) applying second stylization to an entirety of the input image and inpainting to the identified face region of the stylized image. Machine-assisted blending is performed based on (1) the stylized image after the enlargement from the first data path, (2) the inpainted image from the second data path, and (3) the mask image, in order to obtain a final stylized image.

Abstract: This application discloses an image content removal method, and relates to the field of computer vision. The method includes: enabling a camera application; displaying a photographing preview interface of the camera application; obtaining a first preview picture and a first reference frame picture that are captured by a camera; determining a first object in the first preview picture as a to-be-removed object; and determining to-be-filled content in the first preview picture based on the first reference frame picture, where the to-be-filled content is image content that is of a second object and that is shielded by the first object in the first preview picture. The terminal generates a first restored picture based on the to-be-filled content and the first preview picture. In this way, image content that a user does not want in a picture or a video shot by the user can be removed.

Abstract: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to maintain a database usable to guide subsequent use of the images. The database may associate image segments of the images with various landmarks and/or area of interest. The associations may be used to limit the quantity of image segments read from storage during subsequent use of the images.

Abstract: Methods and systems are disclosed including a method comprising, with one or more computer processors, associating geographic position data and orientation data of the one or more video capture devices with each video frame of a geographic area; analyzing the geographic position data and orientation data and the video frames to generate geo-referencing data for pixels of the video frames; determining a geographical boundary of the video frame from the geo-referencing data; receiving, one or more layers of geographic information system (GIS) data using the determined geographical boundary of the video frame; and determining overlay position of the geographic information system (GIS) data on the video frames in real time based at least in part on the geo-referencing data; and overlaying at least a portion of the geographic information system (GIS) data on the video frames based on the overlay position.

Abstract: A surface inspection apparatus includes an imaging device configured to image a surface of an object to be inspected, and a processor configured to: calculate a numerical value representing a quality of the surface by processing an image captured by the imaging device, and receive a change in a range used to calculate the numerical value indicated by an index in the image.

Abstract: A method of generating a map for visual localization includes specifying a virtual camera pose by using 3-dimensional (3D) model data which is based on an image of an outdoor space captured from the air; rendering the image of the outdoor space from a perspective of the virtual camera, by using the virtual camera pose and the 3D model data; and generating a feature point map by using the rendered image and the virtual camera pose.

Abstract: Disclosed is a video editing method including: acquiring an editing instruction to be executed from a user; calling a template video stored in advance according to the editing instruction, and acquiring a time axis representing duration of the template video; and overlaying the time axis on a progress bar of an editing video to indicate, by a combination of the time axis and the progress bar, a position of the template video in the editing video. A video editing apparatus and a smart mobile terminal are further provided.

Abstract: Certain aspects of the present disclosure provide techniques for generating a unified knowledge graph. In one example, a method includes receiving entity data from a data source comprising a plurality of entities; forming a plurality of type-specific groups of entity data based on the received entity data; for each respective type-specific group of entity data of the plurality of type-specific groups of entity data; disambiguating the entity data within the respective type-specific group of entity data; creating a plurality of entity relationships based on the disambiguated entity data; and exporting the plurality of entity relationships to a type-specific subgraph; and forming a unified knowledge graph based on a plurality of type-specific subgraphs, wherein each type-specific subgraph of the plurality of type-specific subgraphs is associated with a single type-specific group of entity data of the plurality of type-specific groups of entity data.

Abstract: The disclosure discloses a historical map utilization method based on a vision robot, including: S1, the vision robot is controlled to continuously collect image of a preset road sign of a preset working area, and road sign information of the preset road sign is obtained; S2, the obtained road sign information is transmitted to a first map positioning system and a second map positioning system; S3, the first map positioning system and the second map positioning system are controlled to respectively process corresponding road sign information, thereby obtaining first pose information and second pose information; S4, the first pose information and the second pose information under the same preset road sign are selected, and a transformation relationship formula of the first pose information and the second pose information is calculated; and S5, the historical map is controlled to perform a corresponding transformation operation, and subsequent motion control is performed.

Abstract: A computer program according allows a processor to function such that a first stream of a first data type including a motion, a sound, a comment, or information according to gifting is retrieved, a second stream of a second data type including a video is retrieved, data according to the first stream and data according to the second stream are synthesized, and the synthesized data is provided. In addition, the first data type includes intermediate information according to the video. In addition, the intermediate information includes depth information according to the video.

Abstract: Systems and methods for correcting point of view (POV) aberrations in scanning folded cameras and multi-cameras including such scanning folded cameras. In a Tele folded camera that includes an optical path folding element (OPFE) and an image sensor, the OPFE is tilted in one or two directions to direct the Tele folded camera towards a POV of a scene, a Tele image or a stream of Tele images is captured from the POV, the Tele image having POV aberrations and the POV aberrations are digitally corrected to obtain an aberration-corrected image or stream of images.

Abstract: An inspection apparatus (100) detects an inspection object (90) from first image data (10) in which the inspection object (90) is included. The inspection apparatus (100) generates second image data (20) by performing a geometric transform on the first image data (10) in such a way that a view of the detected inspection object (90) becomes a view satisfying a predetermined reference. In an inference phase, the inspection apparatus (100) detects, by using an identification model for detecting an abnormality of the inspection object (90), an abnormality of the inspection object (90) included in the second image data (20). Further, in a learning phase, the inspection apparatus (100) learns, by using the second image data (20), an identification model for detecting an abnormality of the inspection object (90).

Abstract: A stereoscopic image acquisition method includes acquiring a first three-dimensional model corresponding to a two-dimensional image according to the two-dimensional image and a depth image; acquiring a target area and an area to be repaired corresponding to the first three-dimensional model; obtaining a second three-dimensional model by repairing a pixel in the area to be repaired according to a color value and a depth value of a pixel in the target area; and acquiring a stereoscopic image to be displayed according to a preset viewing angle change path and the second three-dimensional model.

Abstract: A system and method obtain first image data of a route at a location of interest from a first optical sensor disposed onboard a vehicle system moving along the route. The first image data depicts the route at the location of interest prior to passage of the vehicle system over the route at the location of interest. Second image data of the route at the location of interest is obtained from a second optical sensor disposed onboard the vehicle system. The second image data depicts the route at the location of interest after passage of the vehicle system over the route at the location of interest. A determination is made as to whether a change in the route has occurred at the location of interest by comparing the first image data with the second image data.

Abstract: A post capture imagery processing system is provided. The system is for use with aerial imagery and includes a server having a processor and a memory and a software application providing instruction to the server to process the captured aerial imagery, such as spherical imagery. The server further includes instructions to geo-rectify the spherical imagery. The geo rectifying of the spherical imagery may include one of use of a third party GIS map to associate corresponding data with the spherical imagery in order to produce a geo-referenced spherical image, or calculate the geo-references by a software application performing particular operations on the server.

Abstract: Image pair co-registration systems and methods include receiving a pair of multi-modal images, defining a parametric deformation model, defining a loss function that is minimized when the pair of images are aligned, and performing a multi-scale search to determine deformation parameters that minimize the loss function. The optimized deformation parameters define an alignment of the pair of images. The pair of images may include visible spectrum image and an infrared image. The method further includes resizing the visible spectrum image to match the infrared image, applying at least one lens distortion correction model, and normalizing a dynamic range of each of the pair of images. The multi-scale search may further include resizing the pair of images to a current processing scale, applying adaptive histogram equalization to the pair of images to generate equalized images, applying Gaussian Blur to the equalized images, and optimizing the deformation parameters.

Abstract: The present disclosure describes devices and methods for generating RGB images from Bayer filter images using adaptive sub-pixel spatiotemporal interpolation. An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame and a kernel for green pixels, generate a green channel of a joint demosaiced-warped output RGB pixel from the input Bayer frame based on the green values at the green pixel locations, the kernel for green pixels, and an alignment vector map, and generate red and blue channels of the joint demosaiced-warped output RGB pixel from the input Bayer frame based on the estimated green values at the red and blue pixel locations, kernels for red and blue pixels, and the alignment vector map.

Abstract: A 3D imaging system includes a light source arranged to illuminate a scene with at least one optical pulse including light of at least two discrete wavelengths; an optical detector including an array of detection elements; and an optical modulator interposed in the optical path between the scene and the optical detector, the modulator being arranged to differentially amplitude modulate the two wavelengths in the reflected portion of the optical pulse as a function of time.

Abstract: An information insertion method is provided. In the method, background inclination information of a preset entity in a video frame to be inserted with information is acquired. The background inclination information is of a bearing surface of the preset entity in the video frame. At least one piece of foreground inclination information corresponding to at least one piece of multimedia information is acquired. An inclination difference between the background inclination information and each of the at least one piece of foreground inclination information is acquired, to obtain at least one piece of inclination difference information. Target multimedia information that meets an inclination difference condition is determined from the at least one piece of multimedia information according to the at least one piece of inclination difference information. The target multimedia information is inserted onto the bearing surface of the preset entity of the video frame to obtain a target video frame.

Abstract: Described is a method for processing image data to determine if a portion of the image data is affected due to sunlight. In some implementations, image data is sent to an image data store and camera parameters are sent to a radiance detection service. The radiance detection service, upon receiving the camera parameters, retrieves the image data, converts the image data to gray-scale and processes the image data based on the camera parameters to determine a radiance value for the camera. The radiance value may be compared to a baseline radiance value to determine if sunlight is represented in the image data. In some implementations, a baseline model may be developed for the camera and used to cancel out any pixels of the image data that are overexposed under normal or baseline conditions. Likewise, a foreground model may be generated to detect any objects in the image data for which corresponding pixel values should not be considered for determining if sunlight is represented in the image data.

Abstract: Systems and methods for calibrating a synthetic image on an avionic display. The method includes receiving a synthetic image frame generated by an avionic display system and a sensor image frame from a forward-facing onboard sensor system. Object recognition is performed on the sensor image frame to generate a first search region for a first Federal Aviation Administration (FAA) marking, defined as a first search region-FAA marking pair. The sensor image frame and the first search region-FAA marking pair are processed using a deep learning method (DLM) to determine for the first FAA marking of the first search region-FAA marking pair, each of: a position deviation calculation, an orientation deviation calculation, and a synthetic image distortion factor. The synthetic image frame is then updated and rendered in accordance with the position deviation calculation, the orientation deviation calculation, and the synthetic image distortion factor, thereby calibrating the synthetic image frame.

Abstract: The present disclosure describes systems and techniques directed to producing an all-in-focus image with a camera of a mobile device, in particular, cameras with shallow depth-of-field. User equipment includes a sensor for determining distance to an object in a camera's field-of-view. Based on a depth map of the field-of-view, a plurality of segments is inferred, each segment defining a unique focus area within the camera's field-of-view. An autofocus lens of the camera sweeps to a respective focal distance associated with each of the plurality of segments. The camera captures sample images at each focal distance swept by the autofocus lens. The user equipment produces an all-in-focus image by combining or merging portions of the captured sample images.

Abstract: Systems and methods for image processing for determining a registration map between a first image of a scene with a second image of the scene, include solving an optimal transport (OT) problem to produce the registration map by optimizing a cost function that determines a minimum of a ground cost distance between the first and the second images modified with an epipolar geometry-based regularizer including a distance that quantifies the violation of an epipolar geometry constraint between corresponding points defined by the registration map. The ground cost compares a ground cost distance of features extracted within the first image with a ground cost distance of features extracted from the second image.

Abstract: This disclosure describes techniques for determining product volumes associated with products in a facility. These product volumes may be used to update planogram data associated with a facility, with the planogram data indicating inventory locations within the facility for various types of items supported by product fixtures. The planogram data may be used, in some instances, to update virtual carts of users interacting with the items in the facility.

Abstract: A method is provided for the capture of biometric or multi-biometric information using: a standard Internet of Things (IoT) data broker in an efficient and distributed IoT architecture. The MQTT information protocol is used in combination with mobile or fixed devices that manage one or more peripherals for capturing biometric information. An IoT platform is provided that allows information to be viewed in real time along with historical information and statistics regarding the use and operation of the devices to be obtained. The invention provides a method based on standard integration protocols and tools for M2M communication in IoT architectures, which acts as an information bridge, facilitating implementation to capture any type of biometric or multibiometric information, which information can be in any format (biometric templates or images in standard or proprietary formats), so that the captured information can be used in any type of biometric process.

Abstract: Embodiments relate to an image processing circuit able to perform image fusion on received images in a first mode for fusing demosaiced and downscaled image data, and a second mode for fusing raw image data. In the first mode, raw image data received from an image sensor is demosaiced and resampled prior to undergoing image fusion. On the other hand, in the second raw image mode, the image processing circuit performs image fusion on the raw image data, and demosaics and resamples the generated fused raw image. The image processing circuit comprises an image fusion circuit that processes images of received image pyramids differently, based on whether the first or second mode is being run. The image fusion circuit further comprises an additional alpha-blending circuit allowing for the image fusion circuit to perform a fusion and an alpha-blending in a single pass through image fusion circuit.

Abstract: An apparatus includes an acquisition unit configured to acquire distance information indicating a distance to an object included in each of divided areas of an imaging area, a creation unit configured to create a combined area that is obtained by combining divided areas based on the acquired distance information and positions of the divided areas in the imaging area, and a decision unit configured to decide an exposure condition of the created combined area.

Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more individual traces performed by the user interacting with the computing device, each trace corresponding to a particular task; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Further aspects building upon the above include generating RPA models to perform tasks determined to be processes for RPA. Corresponding systems and computer program products are also described.

Abstract: A computing entity is described that obtains at least one inspection image of an at least partially fabricated product and causes the at least one inspection image to be processed by a product inspection engine. The product inspection engine includes a machine learning-trained model. The computing entity obtains an inspection result determined based on the processing of the at least one inspection image by the product inspection engine; identifies one or more training images stored in an image database based at least in part on the at least one inspection image; associates automatically generated labeling data with the one or more training images based at least in part on the inspection result determined by the processing of the at least one inspection image; and causes training of the product inspection engine using the one or more training images and the associated labeling data.

Abstract: An image processing apparatus acquires a first image which captures a scene including an object from a first viewpoint position and a second image which captures a scene including the object from a second viewpoint position, and associates a coordinate position corresponding to a position of a feature of the object on the first image with a coordinate position corresponding to a position of a feature of the object on the second image. The image processing apparatus determines a partial region in the second image corresponding to a give region in the first image based on the association, generates a synthesized image by replacing an image of the given region using an image of the determined partial region, and superimposing variation data on the synthesized image.

Abstract: The present invention proposes a bi-level optimization-based infrared and visible light fusion method, adopts a pair of infrared camera and visible light camera to acquire images, and relates to the construction of a bi-level paradigm infrared and visible light image fusion algorithm, which is an infrared and visible light fusion algorithm using mathematical modeling. Binocular cameras and NVIDIA TX2 are used to construct a high-performance computing platform and to construct a high-performance solving algorithm to obtain a high-quality infrared and visible light fusion image. The system is easy to construct, and the input data can be acquired by using stereo binocular infrared and visible light cameras respectively; the program is simple and easy to implement; and the fusion image is divided into an image domain and a gradient domain for fusion by means of mathematical modeling according to different imaging principles of infrared and visible light cameras.

Abstract: A measurement system for measuring intrinsic parameters of a camera includes an arrangement of inclined mirrored surfaces to extend the field of view of the camera.

Abstract: A processor may generate a plurality of intermediate feature layers of an image using convolutional neural network (CNN) processing. For each intermediate feature layer, the processor may generate a plurality of text proposals using a region proposal network (RPN). Each text proposal may comprise a portion of the intermediate feature layer that is predicted to contain text. The processor may perform OCR processing on image data within a plurality of regions of the image to generate a text result for each region. Each region may comprise at least one of the text proposals. The processor may assemble the text results into a text string comprising the text results ordered according to a spatial order in which the plurality of regions appear within the image.

Abstract: Systems, apparatus, and methods for stabilization and blending of exposures. So-called Electronic Image Stabilization (EIS) techniques use image manipulation software to compensate for camera motion. Unfortunately, existing EIS techniques cannot compensate for artifacts introduced by low shutter speed (e.g., blurs). Various embodiments of the present disclosure generate stabilized images from multiple exposures. In one exemplary embodiment, the stabilized exposures are blended using a linear sum of the color data for each pixel of the image. By stabilizing each exposure and linearly summing the light information, the camera shake can be removed, and the subject motion blur can be controlled. The stabilization and blending techniques enable a mathematical emulation of a selected shutter angle from many high-speed exposures.

Abstract: An image processing method includes obtaining a first image and a second image, for the first image and the second image, separately obtaining, through calculation, a gradient saliency feature map of the image, based on the gradient saliency feature maps of the first image and the second image, performing feature matching between the first image and the second image to obtain a dense disparity map of the first image, and based on the dense disparity map of the first image, performing disparity translation on a pixel in the second image corresponding to a pixel in the first image, and fusing the first image and the pixel in the second image.

Abstract: Software tools disclosed herein may allow a user to enter design choices that alter an aesthetic appearance of a machine-readable label such that modules included in the label deviate from a standardized definition for the modules. Such alterations may include changes in size, color and orientation of modules. The alterations may allow a user to create machine-readable labels having unique aesthetic appearances. A software engine may ensure that, despite the aesthetic design choices entered by a user, the generated machine-readable label is reliably scannable.

Abstract: A system includes a sensor including a set of cameras configured to capture a set of images of an enclosed space. The system further includes a processor and a non-transitory computer-readable medium containing instructions which, when executed on the processor, cause the processor to perform operations including: (a) receiving the set of images captured by the set of cameras; (b) pre-processing the set of images to increase quality and reduce effect of ambient lighting; (c) building a disparity map for the set of images based at least in part on a relationship between the set of cameras; and (d) determining an occupancy of the enclosed space based at least in part on the disparity map. The system can be used to determine occupancy in a trailer with irregularly shaped cargo using low cost sensors.

Abstract: Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure using a minimum amount of three-dimensional (3D) geometric data and applying a scene effect to the synthetic image data to create a photorealistic effect.

Abstract: An image processing apparatus comprises one or more processors, wherein the one or more processors function as: a first obtaining unit configured to obtain a plurality of images having an overlapping region which is a region that is captured by overlapping at least a portion of a capturing target, a second obtaining unit configured to obtain in-focus degree information in the overlapping region of each of the plurality of images, wherein the in-focus degree information indicates a degree of focus for each predetermined region of the image, and a compositing unit configured to, based on the in-focus degree information of each of the plurality of images, generate a composited image for which the plurality of images are composited.

Abstract: A system and method to create original content by means of merging different content from multiple individual devices into at least one combined content set. The system includes multiple content capture devices, a database that stores media content from the multiple individual devices, a processor that merges the data content, and a server that distributes the merged content. Moreover, the merging processor applies a set of rules as to how the content is to be merged into the combined content set and the distribution server has a set of distribution rules related to how the combined content is distributed and the user(s) that can consume the combined content.

Abstract: The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.

Abstract: An apparatus is disclosed for recording data to produce a localized panoramic image of a street. The apparatus uses a camera and a device for satellite-based position and time determination, as well as a storage unit. A preparation device is provided which encodes time data of the device for satellite-based position and time determination into a format recordable for the camera and forwards this to the camera. The camera is designed to simultaneously record these data and record a continuous film. The storage unit stores the film with the time data as well as position and time data obtained from the device for satellite-based position and time determination. Furthermore, the apparatus operates in accordance with a method for producing a localized panoramic image.

Abstract: An on-image navigation guide can be generated utilizing coordinates of table data of a table in a document image. The on-image navigation guide enables a user to populate a data entry form with the table data by interacting directly with the document image. The data entry form is configured with the same number of columns as the table and the document image and the data entry form share the same data structure. The on-image navigation guide is presented on top of the document image. As a user navigates the document image, a focus point of the on-image navigation guide moves from table cell to table cell, providing an immediate visual feedback on what is captured in a corresponding data entry field. The on-image navigation guide includes an on-image context menu and a pin through which the user can make adjustments and/or corrections without leaving the document image.