Abstract: According to one embodiment, an image processing apparatus includes an image block generator, a pixel extractor, a correction parameter calculator and a corrector. The image block generator enlarges an image block including a plurality of pixels to generate an enlarged image block. The pixel extractor extracts a maximum pixel with a maximum pixel value and a minimum pixel with a minimum pixel value from the image block. The correction parameter calculator calculates a correction parameter including a first difference and a second difference. The first difference is an absolute value of a difference between a sample pixel value of a sample pixel to be corrected in the enlarged image block and the maximum pixel value. The second difference is an absolute value of a difference between the sample pixel value and the minimum pixel value. The corrector corrects the enlarged image block using the correction parameter.

Abstract: An image processing arrangement includes an input to receive an indicator of a power characteristic related to an image processing arrangement and an image processor to process an image based on the indicator of the power characteristic.

Abstract: The present invention relates to methods and systems for automatic image cropping. An automatic image cropping system includes a downsampling system, a saliency analyzer, a spatial scatter, and a face detector configured to detecting one or more faces within the image. The saliency value of each pixel not associated with a detected face within the image is adjusted if one or more faces within the image are detected. A search system defines a saliency region based on a total value of saliency values within the saliency region and on a parameter, where the parameter value is based on a relative importance of a false positive pixel to a false negative pixel. The search system also defines a crop region using an aspect ratio that includes the saliency region and determines a position of the crop region based the saliency values within the crop region by performing a one dimensional search.

Abstract: A computer-implemented method for determining content to be displayed includes determining a first size aspect of first content that is to be presented in a graphical user interface. The method includes obtaining second content and causing the second content to be presented in the graphical user interface with the first content, wherein the second content has a second size aspect with a predefined relationship to the first size aspect. A system includes a size determining module determining a first size aspect of first content that is to be presented in a graphical user interface. The system includes a content module obtaining second content based on the first size aspect, the second content having a second size aspect with a predefined relationship to the first size aspect. The system includes a page generating module causing the second content to be presented in the graphical user interface with the first content.

Abstract: An image processing circuit and a method thereof are provided herein. The image processing circuit has a first scaling circuit, a plurality of line buffers, a first sharpness circuit, a second scaling circuit, and a second sharpness circuit. The first scaling circuit enlarges an input image along a first direction to generate a first enlarged image. The line buffers temporarily store the pixel values of a plurality of pixel rows of the first enlarged image. The first sharpness circuit vertically sharpens the first enlarged image to generate a first sharpened image. The second scaling circuit enlarges the first sharpened image along a second direction to generate a second enlarged image. The second sharpness circuit horizontally sharpens the second enlarged image to generate a second sharpened image. Accordingly, it is possible to use the line buffers having shorter data lengths to perform the vertical sharpening.

Abstract: An image processing apparatus includes: a reducing section reducing an image for which a feature analysis is to be perform at a predetermined reduction ratio; an ROI mask generating section analyzing a feature of a reduced image as the image reduced at the predetermined reduction ratio, and generating an ROI mask as mask information indicating a region of interest as a region to be interested in the reduced image; an ROI mask enlarging section enlarging a size of the ROI mask to a size of the image before being reduced by the reducing section; and an ROI mask updating section analyzing a feature of a region, set as a blank region as a region not to be interested in the ROI mask, of the image before being reduced by the reducing section, and updating the ROI mask by using an analysis result.

Abstract: While a user is viewing in a first display area a portion of an electronic document intended to be printed to produce a printed product, presenting to the user in a second display area a representation of the physical outline of the printed product and an indicator that indicates to the user the size and location of the electronic document portion relative to the printed product. When the user positions a cursor in the second display area, a second indicator image, visually distinctive from the first indicator image, is displayed. The user can position the second indicator at a desired location relative to the representation and request that the portion of the electronic document at that second indicator location be displayed in the first display area.

Abstract: In a method to correct a registration error in a printing process, data of first and second images to be printed are subjected to a raster image process via which at least first and second raster graphics are generated. Control data for a print member or two respective print members are formed from the first and the second raster graphics. A recording medium is printed in a first printing process with the control data of the first image. The recording medium is subjected to a treatment via which the recording medium and the first image deform along at least one deformation axis. The recording medium is printed by the print member with the control data of the second image in a second printing process.

Abstract: One exemplary embodiment includes a difference image generation device including a measurement unit and a scaling unit. The measurement unit measures a variation width of pixel values of a difference image signal obtained by performing subtraction processing on first and second input image signals. The scaling unit scales each pixel value of the difference image signal based on a measurement result of the variation width so that the difference image signal can be represented in grayscale using a predetermined bit width, and outputs a difference image signal subjected to scaling.

Abstract: Digital images are resized according to a prescribed image scaling factor. An original image is re-sampled according to the scaling factor, resulting in an initial resized image. A probability of text (POT) map is generated for the initial resized image, where the POT map specifies a smoothed POT value for each pixel in the initial resized image. A weighting factor (WF) map is generated which maps each different smoothed POT value to a particular WF value. The WF map is used to calculate an adjusted luminance value for each pixel in the initial resized image, resulting in a final resized image.

Abstract: To shift an image in order to prevent the image from overlapping with a finishing position, the amount of shift for preventing the overlap may be increased and a desired result of layout may not be obtained. In addition, if the image is not shifted in order to obtain the desired result of layout, the image may overlap with the finishing position and toner or the like may come off. When it is determined that a position where the finishing process is to be executed overlaps with a content data placement area, an avoidance area where printing is not performed is placed at a position in which the position where the finishing process is to be executed overlaps with the content data placement area without changing the position and size of the content data placement area.

Abstract: An image processing apparatus characterized by including; an area sensor unit that reads from an original document image a plurality of frames of image data having a shift of less than one pixel, an output resolution acquisition unit that obtains an output image resolution at which resolution the original document image read by the area sensor unit is output, an acquisition frame number control unit that controls a number of frames read by the area sensor unit according to a result of the output resolution acquisition unit, a correction unit that corrects an inclination of the frames of image data controlled by the acquisition frame number control unit, and a high resolution conversion unit that performs an interpolation processing using the plurality of frames of image data whose inclination is corrected by the correction unit to obtain image data in a resolution higher than a resolution during reading.

Abstract: Methods for reducing dimensionality of hyperspectral image data having a number of spatial pixels, each associated with a number of spectral dimensions, include receiving sets of coefficients associated with each pixel of the hyperspectral image data, a set of basis vectors utilized to generate the sets of coefficients, and either a maximum error value or a maximum data size. The methods also include calculating, using a processor, a first set of errors for each pixel associated with the set of basis vectors, and one or more additional sets of errors for each pixel associated with one or more subsets of the set of basis vectors. Utilizing such errors calculations, an optimum size of the set of basis vectors may be ascertained, allowing for either a minimum amount of error within the maximum data size, or a minimum data size within the maximum error value.

Abstract: The present invention has a configuration in which a reduction and interpolation circuit having a variable reduction ratio and at least one reduction circuit having a fixed reduction ratio are sequentially connected. In the case where a set reduction rate cannot be achieved in the reduction and interpolation circuit, a reduction ratio for the reduction and interpolation circuit is determined such that the set reduction ratio can be achieved through a combination of the reduction ratio of the reduction and interpolation circuit and the reduction ratio of the reduction circuit. It is thereby possible to obtain an image processing apparatus capable of generating a reduced image reduced at a high reduction ratio and having high image quality while suppressing the circuit size.

Abstract: An image forming apparatus is provided that is capable of, in displaying a preview of image data to be output, confirming a confirmation point in accordance with an operation mode immediately without performing a user operation such as enlarging, reducing or shifting. The image processing apparatus (illustrated as a digital multi-functional peripheral) is capable of operating in each of a plurality of operation modes. The image forming apparatus is provided with an image display portion such as a touch panel for displaying a preview of image data and a set value storage portion such as control memory for storing a display set value in displaying a preview image at first on the image display portion for each operation mode.

Abstract: An image submission system comprises a server, a client, and a scanner. A scanner interface software module is loaded on the client for operating the scanner. An image submission software module loaded on the server remotely receives instructions through an Internet browser at the client, and presents a single click interface feature operable to receive a single click input by the user at the client, via the Internet browser. A control software module loaded on the client is in communication with the image submission software module, and is operative to direct the scanner interface software module to scan an image on the scanner and upload the scanned image to the remote server in response to a single click input by the user via the single click interface feature. A user may thus have an image both scanned an uploaded to a server, in response the same single click.

Abstract: An image processing apparatus and method for obtaining an image signal to be processed. A classification information obtaining section obtains classification information indicating the image signal as one of a plurality of image signal types. The plurality of image signal types include a first type comprising a plurality of frames extracted from a large still image, the frames being extracted by moving an extracting area in units of an integer pixel per frame over the large still image, extracting the frames corresponding to the extraction area, and outputting an image signal corresponding to the frames. An image signal processing section then performs processing on the image signal based on the classification information.

Abstract: Embodiments are described for a method to generate an image that includes image structure detail captured from a first image and color from a second image. The first image of a defined subject can be obtained from a computer memory. The first image may be a downsampled fine image with image detail. The second image captured of the defined subject in the first image can be obtained from a computer memory. The second image may be a coarse image. A target pixel in the second image can be selected. A target color distribution for a pixel window of the target pixel can then be computed. A source color distribution for a pixel window of a corresponding pixel in the first image can be computed using a computer processor. Further, a statistic of the target pixel can be determined with respect to the target color distribution. The source color in the source color distribution can be computed with the statistic. The target pixel color can then be replaced by the source color.

Abstract: An image display apparatus which displays an image includes: an image input unit which accepts an input of an image used for display; an image processing unit which carries out image processing including sharpness processing to uniformly sharpen an entire image area and super-resolution processing to selectively sharpen an image enlarged by interpolation of pixels, on the image accepted by the image input unit; an image display unit which displays the image processed by the image processing unit; and a sharpness setting unit which reduces the intensity of the sharpness processing in accordance with an increase in the intensity of the super-resolution processing and increases the intensity of the sharpness processing in accordance with a reduction in the intensity of the super-resolution processing.

Abstract: According to one embodiment, an image processing apparatus includes a scale down unit, a calculation unit, a scale up unit, and a subtraction unit. The scale down unit generates a scaled down image by scaling down a target image. The scaled down image has a size smaller than the target image. The calculation unit calculates a pixel value of a diffuse reflection component of each pixel in the scaled down image, and generates a first diffuse reflection image having the pixel value and the same size as the scaled down image. The scale up unit generates a second diffuse reflection image by scaling up the first diffuse reflection image. The second diffuse reflection image has the same size as the target image. The subtraction unit generates a specular reflection image by subtracting the second diffuse reflection image from the target image.

Abstract: A videoconference multipoint control unit (MCU) automatically generates display layouts for videoconference endpoints. Display layouts are generated based on attributes associated with video streams received from the endpoints and display configuration information of the endpoints. An endpoint can include one or more attributes in each outgoing stream. Attributes can be assigned based on video streams' role, content, camera source, etc. Display layouts can be regenerated if one or more attributes change. A mixer can generate video streams to be displayed at the endpoints based on the display layout.

Abstract: Provided is a method of hyperspectral image dimension reduction. The method includes receiving a hyperspectral image having a plurality of pixels. A set of basis vectors is established at least in part with respect to the spectral vectors of the initial hyperspectral image. For each pixel of the hyperspectral image, the spectral vector is read and decomposed, i.e. unmixed, with the basis vector set to provide at least a reduced dimension vector for each pixel. Collectively the reduced dimension vectors for each pixel represent the dimensionally reduced image. A system operable to perform the method is also provided.

Abstract: Non integer scaling of images to reduce artifacts is presented herein. One embodiment includes determining a scaling resolution based on a pixel resolution of the image and a pixel resolution of an output device (i.e., factors of the scaling resolution). The image is converted to the scaling resolution to change (e.g., increase) the pixels of the image by the first factor. A grid is generated to scale the converted image. The grid has a number of sections defined according to the second factor times the pixel resolution of an output device. The converted image is sectioned according to the grid. Each section of the grid includes an integer number of pixels of the converted image. The color values of the pixels of the converted image are averaged within each section of the grid to compute a single color value for each section of the grid and scale the image.

Abstract: This disclosure describes techniques for generating depth maps for video units, such as video frames or slices video frames. The techniques may be performed by a video encoder in order to convert two-dimensional (2D) video to three-dimensional (3D) video. The techniques may alternatively be performed by a video decoder in order to convert received 2D video to 3D video. The techniques may use a combination of motion and color considerations in the depth map generation process.

Abstract: An automated system and a method for extracting a region of interest from a digital image are disclosed. The method includes identifying a subset of training images from a larger set of training images, each training image in the set having a respective identified region of interest. The subset is identified based on a measure of similarity between the digital image and the images in the set of training images. At least one region of interest is extracted from the digital image based on an analysis of the identified regions of interest in the subset of training images.

Abstract: A target object is found in a target image, by using a computer for determining an orientation field of at least plural pixels of the target image, where the orientation field describes pixels at discrete positions of the target image being analyzed according to an orientation, and location. The orientation field is mapped against an orientation field in model images in a database to compute match values between the orientation field of the target image and orientation field of model images in the database. The match values are thresholded, and those match values that exceed the threshold to are counted to determine a match between the target and the model.

Abstract: In various example embodiments, a system and associated method to automatically adapt images is provided. A request to render a stored image is received. The request comprises an output parameter indicative of a display constraint to be applied in the rendering of the stored image, while the stored image has region characteristics associated therewith. An adaptation process to apply to the stored image is determined using the output parameter. An output image is then rendered using the adaptation process and the region characteristics. The output image is then provided to a display device.

Abstract: With the conventional techniques, when the images taken under various conditions such as plural aspect ratios, horizontal shooting and vertical shooting are collectively selected and searched, the search conditions adaptable to all the images can not be specified, whereby there was a problem that the search could not be made as intended. In order to solve this problem, the present invention provides an image search apparatus comprising search object image designation means for designating a search object image, search condition input means for inputting the search conditions, feature amount extraction means for extracting a feature amount thereof from the search object image, feature amount transformation means for transforming the feature amount to adapt to the inputted search conditions, and determination means for determining whether or not the search object image is matched with the search conditions using the feature amount after transformation.

Abstract: A method and an apparatus for scaling an image in segments are disclosed. The method includes: identifying scene features in each input video frame, and obtaining information about distribution of multiple features in the video frame; obtaining multiple feature distribution areas corresponding to the information about distribution of the multiple features, and obtaining multiple scale coefficients; and scaling the corresponding multiple feature distribution areas in each video frame according to the multiple scale coefficients.

Abstract: A device is provided, in which a display screen displays an image; an image analyzer determines at least one potential area of interest in the image; a visual indicator highlights at least a boundary of the at least one potential area of interest, and an optical zoom and/or a digital zoom changes the magnification level of an area of interest selected from the at least one potential area of interest. The device permits a user to zoom in and/or zoom out of the selected area of interest by displacing the boundary of the selected area of interest over at least a portion of the display screen.

Abstract: A super-resolution processor includes an N enlargement unit that generates an N-enlarged image by enlarging the input image by a factor N; an M enlargement unit that generates an M-enlarged image by enlarging the input image by a factor M; and a high-pass filter unit that extracts a high-frequency component of the M-enlarged image, as an M-enlarged high-frequency image. Additionally, a patch extraction unit extracts an estimated patch of a predetermined size from the M-enlarged high-frequency image, the estimated patch being a part of the M-enlarged high-frequency image; and an addition unit adds the estimated patch to a processing target block of the predetermined size in the N-enlarged image, to generate the output image, where M is smaller than N.

Abstract: A method for generating a multi scale representation of an input image, the method comprising the procedures of: estimating a scale factor corresponding to said input image; determining a set of Gaussian difference kernels according to said estimated scale factor, and according to a predetermined set of Gaussian kernels; and generating a multi-scale representation of said input image by applying each of said set of Gaussian difference kernels on said input image.

Abstract: To modify the aspect ratio of images in a video sequence, a measure of image energy is provided at or around each pixel, for example by taking differences between adjacent pixels. A minimum energy path of contiguous pixels is then identified which extends across the image from one edge to another, for example vertically if the width of the picture is to be modified. Information concerning the location of a path in one image is used in the identification of a path in the next image, for example by biasing the energy measure of the path. The aspect ratio of each image is then modified by removing or by replicating the minimum energy path of contiguous pixels.

Abstract: A parallel scaler unit for simultaneously scaling multiple pixels from a source image. The scaler unit includes multiple vertical scalers and multiple horizontal scalers. A column of pixels from the source image is presented to the vertical scalers, and each vertical scaler selects appropriate pixels from the column of pixels for scaling. Each vertical scaler scales the selected pixels in a vertical direction and then conveys the vertically scaled pixels to a corresponding horizontal scaler. Each horizontal scaler scales the received pixels in a horizontal direction.

Abstract: A reproducing apparatus, an image data reproducing method, a program, and a storage medium each detects an attitude state of the reproducing apparatus, extracts a part of an area of image data obtained by an image pickup device, and reproduces the part of the area of the extracted image data. According to the detection result, the part of the area of the image data is changed to another part of the area and rotation processing of another part of the area is performed, thereby reproducing the another part of the area which was subjected to the rotation processing.

Abstract: This apparatus obtains a mapped position (xo, yo) of (xi, yi), acquires (xi?, yi?) by performing inverse mapping for each reference position being based on (xo, yo), obtains (xi?, yi?) by performing inverse mapping for integer parts xoc and yoc of xo and yo respectively, and performs interpolation using fraction parts of x- and y-coordinates of a position, of (xi?, yi?) and (xi?, yi?), whose integer parts of the x- and y-coordinates respectively coincide with xi and yi, and peripheral pixel values of (xi, yi).

Abstract: A template matching apparatus includes a template input unit configured to input the template image; a signal input unit configured to input an image to be matched; a template scaling unit configured to scale the template image; a matching unit configured to match a scaled template image and an input image; a scaling factor determining unit configured to determine a scaling factor of the template image on the basis of a similarity obtained by matching; and a result output unit configured to output a result of matching when matching within a range of a predetermined scaling factor is completed.

Abstract: An image processing device includes: a controller configured to receive information for displaying at least a portion of an image, and in response thereto to generate a scale ratio K for scaling compressed image data corresponding to the image; a partial image decoder configured to receive the compressed image data and the scale ratio and in response thereto to decode and scale the compressed image data by the scale ratio K and to output a portion of the decoded and scaled image data, wherein the portion corresponds to an area of the image to be displayed on a display device; a frame buffer configured to store the portion of the decoded and scaled image data output by the partial image decoder; and a video processor configured to receive the data from the frame buffer and to further scale the data for display on the display device.

Abstract: An image processing apparatus generates an image appended with additional effective pixels by executing appending processing for appending additional effective pixels by extending input image data in a scanning direction using pixels at terminal ends of the input image data in the scanning direction. The image processing apparatus generates image data of a second hierarchy obtained by reducing the input image data by applying filtering to the generated image appended with the additional effective pixels, and generates image data of a third hierarchy by applying filtering to the image data of the second hierarchy.

Abstract: Technologies are described herein for converting presentations between differing slide dimensions and aspect ratios. A scaling factor is calculated from the difference between the original dimensions of the slide and the new dimensions of the converted slide. Next, the content objects on the slide are scaled based on the scaling factor such that the aspect ratio of the content object is maintained. A horizontal position zone and vertical position zone is determined for each content object on the slide, and new coordinates for the position of the content objects are calculated utilizing formulas based on the horizontal position zone and a vertical position zone determined for each.

Abstract: An image processor for combining video data and graphic data is provided. The image processor includes a scaler that is configured to scale compressed graphic data in a horizontal direction using bilinear scaling, to scale a horizontally scaled graphic data in a vertical direction using line copy, and to process a data value of a pixel at a border of a vertically scaled graphic data based on a data value of the compressed graphic data and a data combiner that is configured to combine video data with processed graphic data output from the scaler.

Abstract: A method of determining misalignment between a first image and a second image, the first and second images being viewable stereoscopically, the method comprising: determining a feature position within the first image and a corresponding feature position within the second image; defining, within the first image and the second image, the optical axis of the cameras capturing said respective images; and calculating the misalignment between at least one of scale, roll or vertical translation of the feature position within the first image and the corresponding feature position within the second image, the misalignment being determined in dependence upon the location of the feature position of the first image and the corresponding feature position of the second image relative to the defined optical axis of the respective images is described. A corresponding apparatus is also described.

Abstract: Audiovisual content presentation to users has evolved from users receiving hardcopy printed materials to their searching and retrieving information by accessing any of hundreds of millions of web sites and billions of web pages. User retrieval being performed on a wide variety of platforms from high performance PCs to low performance cellular telephones. Accordingly substantial limitations exist in initially displaying this audiovisual content as well as when users dynamically manipulate browser dimensions or move through the content. Further additional limitations exist for those authoring both online and traditional content to manipulate sourced content to provide the published content. As such a requirement exists for dynamically resizing images that respects the information content within the audiovisual content.

Abstract: Methods, computer devices, and computer readable media containing instructions for executing such methods are provided for the modification of digital images having a plurality of visual elements.

Abstract: A method for image processing that includes determining edge pixels of a model image using an edge based technique, and an angular orientation for each of the edge pixels of the model image. The method determines a lower spatial resolution model image based upon the model image and determining respective angular orientations for the lower spatial resolution model image. The method determines edge pixels of an input image using an edge based technique, and an angular orientation for each of the edge pixels of the input image. The method determines a lower spatial resolution input image based upon the input image and determining respective angular orientations for the lower spatial resolution input image. The method matches the lower spatial resolution model image with the lower spatial resolution input image to determine candidate locations of an object within the input image and based upon the candidate locations matching the input image with the model image.

Abstract: Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet. The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to form a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.

Abstract: A method and system for image stabilization through image processing, and a zoom camera including an image stabilization function. The method includes: determining whether an input image comprises a representative feature portion; sampling the representative feature portion to generate a sampled image if it is determined that the input image comprises the representative feature portion; enlarging the sampled image, matching the enlarged sampled image with the sampled image, and obtaining a central coordinate of the matched image; and aligning an optical axis by calculating a difference between the central coordinate of the matched image and a central coordinate of the sampled image.

Abstract: An image processor includes a control unit, wherein the control unit includes an image obtaining unit that obtains an image including a document area corresponding to a document read by an image reader, an edge coordinate detecting unit that detects coordinate values of edge candidate pixels, a tilt calculating unit that calculates a tilt of the document area, or a tilt obtaining unit that obtains the tilt of the document area detected by a predetermined sensor, an edge end coordinate extracting unit that extracts a coordinate value of an edge end candidate pixel, a straight line calculating unit that calculates a straight line corresponding to the edge, and either one or both of a tilt correcting unit that corrects the tilt of the document area by rotating the document area, and an area clipping unit that clips the document area from the image.

Abstract: Provided is a method for determining the magnification of a pattern searching template of a scanning electron microscope. The determining method comprises: acquiring a first image initially at a first magnification; then acquiring a second image which contains a pattern image displayed on the first image at a second magnification lower than the first magnification; making the size of the first image coincident with the size of a third image which cut out a portion of the second image; thereafter determining the correlation value between the first image and the third image; and setting the second magnification as the magnification of a pattern searching template, in the case where the correlation value is equal to or higher than a predetermined value. As a result, a condition for acquiring a search area can be properly set, when pattern recognition is performed by means of the template.

Abstract: A method for determining a scaled color map of a scaled image is described using the transformation of the original color map and the original image only, independently of the scaled image. A number of colors N in the original color map is determined; and provided N>Nmax, all colors in the original color map are reused in the scaled color map. If N<Nmin, the number of colors in the original color map is increased. Otherwise, the scaled color map is formed including: selecting a sub-set of colors in the original color map; increasing a number of colors in the selected sub-set; adding the resulting sub-set with increased number of colors to the original color map; and removing duplicate colors, wherein Nmin and Nmax are respective predetermined minimum and maximum thresholds for a number of colors in the original color map. A corresponding system is also provided.