Abstract: An image forming apparatus includes a resolution converting unit, an address generating unit, a density determining unit, and an image path selector. The resolution converting unit converts a resolution of image data into a higher resolution. The address generating unit performs a position determining process of determining a position of an additional pixel on the basis of main-scanning directional positions of pixels composing the converted image data and respective shift amounts of the pixels shifted to a sub-scanning direction. The density determining unit determines a density of the additional pixel on the basis of a density of a pixel located at a position corresponding to the determined position in the image data. The image path selector scales the image data up or down by controlling the address generating unit while adding the additional pixel having the determined density to the determined position.

Abstract: An image processing apparatus for applying film grain effects on an image of received image data includes a generating unit configured to generate, on the basis of pixel values randomly read from grain data including a plurality of pixel values, a basic grain image having a certain size larger than the grain data; a resizing unit configured to resize the basic grain image generated by the generating unit to have the same size as the received image data; and a combining unit configured to combine the basic grain image resized by the resizing unit with the received image data.

Abstract: An image processing device for performing edge-preserving smoothing includes a reducing unit for reducing an input image; a reduced image smoothing unit for performing a smoothing processing on a reduced image generated by the reducing unit with edges preserved; and an edge-preserving enlarging unit for enlarging an image generated by the reduced image smoothing unit with the edges preserved. The edge-preserving enlarging unit performs a filtering processing by determining a pixel value of a target pixel for the filtering processing based on weighted addition of pixel values of respective reference pixels. Weighting coefficients for the pixel values of the respective reference pixels is set based on differences between a pixel value of the input image corresponding to the target pixel and pixel values of the respective reference pixels and based on distances between the target pixel and the respective reference pixels.

Abstract: The method of creating image mosaics, comprising performing following operations: component elements of images are analyzed and descriptors of matching points are revealed; pair-wise comparison of descriptors is performed; descriptors are matched with final image and rotation/translation parameters are recovered; component elements one-by-one are complemented in final image, based on recovered rotation/translation parameters.

Abstract: An image processing circuit and a method thereof are provided herein. The image processing circuit has a first scaling circuit, one or more 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 one or more 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 one or more line buffers having shorter data lengths to perform the vertical sharpening.

Abstract: Systems and methods are provided for upscaling a digital image. A digital image to be upscaled is accessed, where the digital image comprises a plurality of pixel values. A first half pixel value is computed for a first point in the digital image based on a plurality of pixel values of the digital image surrounding the first point and an activity level. A second half pixel value is computed for a second point in the digital image, and an interpolated pixel of an upscaled version of the digital image is determined using a plurality of the pixel values, the first half pixel value, and the second half pixel value.

Abstract: Embodiments generally relate to representing a group identity in a social network. In one embodiment, a method includes obtaining a plurality of photos associated with a plurality of users participating in a group activity, and selecting a representative photo from the plurality of photos, wherein the representative photo represents a group of the plurality of users. The method also includes associating the representative photo with the group of the plurality of users.

Abstract: System and method for determining the tile size for a particular virtualized map view.

Abstract: An image enlargement apparatus includes an interpolation unit that generates a high-resolution interpolation image from a low-resolution image; and a synthesis unit that generates a first high-resolution image by synthesizing the interpolation image and a correction amount. Additionally, a re-correction unit generates a second high-resolution image by re-correcting the first high-resolution image using a generated feature value.

Abstract: A biometric authentication apparatus includes an image shooting unit to capture a vessel image of a person to be authenticated and an authentication unit to verify verification vessel position information of the captured vessel image of the person to be authenticated against registered vessel position information of a registered vessel image registered in advance. When the verification vessel position information is not identical with the registered vessel position information, the authentication unit performs authentication using vessel size information of the registered vessel image registered in advance.

Abstract: Provided are an apparatus for processing adaptive video and a method of scaling video, which generate a graphical user interface (GUI) so that a GUI suitable for the screen size of a display device can be displayed according to the screen size of the display device. The apparatus can realize a GUI most suitable for the screen size of an external display device connected to the apparatus by enlarging or reducing the size of the GUI according to the screen size of the external display device, or by changing the arrangement of items arranged on the GUI.

Abstract: A rendering command generator (11) acquires coordinate transformation information and a rendering region that converts and displays a reference image in a display image, and sets a coordinate transformation matrix in a register (21). A rendering block setting unit (22) sets the number of vertical and horizontal pixels of a rectangular region that divides and covers the rendering region in such a way that the region in which the rectangular region is subjected to coordinate transformation from a rendering region to a reference image by a coordinate transformation matrix conforms with the shape on the image of the image cache (15) from which the reference image is read out. A pixel generator (13) scans the rendering region by using the set rectangular region and generates pixel positions, and a coordinate transformation unit (14) reads out from external memory (20) image data on the pixel positions of the reference image corresponding to the pixels of the rendering region.

Abstract: A feature descriptor extracting method in a feature descriptor extracting apparatus is provided. The feature descriptor extracting method involves receiving an image from which a feature descriptor will be extracted, extracting a point at which a change in a pixel statistical value of the image is large as a feature point, and extracting a patch centered on the feature point, blocking the patch to calculate a statistical value of each of a plurality of patch blocks, calculating a morphological gradient by using a statistical value of the block-converted patch, and extracting a feature descriptor by using the morphological gradient in consideration of required feature descriptor complexity.

Abstract: System and method for converting source image data to tile data including (a) selecting a source image set; (b) computing a scaling value for the source image set; (c) establishing tile set geographic bounds of a tile set that is created based on the scaling value; (d) converting the tile set geographic bounds to discrete tile bounds; (e) for each source image (i) determining source image geographic bounds; (ii) if there is an intersection between the source image geographic bounds and the tile set geographic bounds, (1) extracting image data from the source image at the intersection; (2) scaling the image data based on a pre-selected scale; (3) storing the scaled image data to a tile storage mechanism; and (f) repeating steps (a) through (e) for each of the source image sets.

Abstract: A counterfeit detection system is disclosed herein. The system includes an image reduction system for minimizing size of at least one original image using a plurality of different reduction strategies to generate a plurality of minimized images. The system further includes a classification system which includes a first sub-system for generating at least one accuracy comparative assessment metric for each of the plurality of minimized images, a second sub-system for comparing the at least one accuracy comparative assessment metric for each of the plurality of minimized images with an accuracy assessment metric for the at least one original image, and a third sub-system for determining if at least one of the plurality of minimized images can be transmitted with improved or equivalent classification accuracy at a reduced bandwidth when compared to the original image are also part of the system.

Abstract: When a display position for any of a plurality of images is designated using a touch panel, an instruction accepting section enlarges, for a predetermined period of time, an area for accepting the input of an instruction associated with any of the image of the plurality of images that is displayed in the designated display position, in accordance with speed of change that is detected by a speed detector at the time of the designation.

Abstract: The frame rate of a pause frame of a moving image is detected. The number of frame images of the moving image to be used in a process of increasing the resolution of a low-resolution image is determined such that a larger number of frame images is set for a higher detected frame rate. In a super-resolution process, a high-resolution image is generated using the determined number of continuous frame images including the pause frame of the moving image. This makes it possible to appropriately determine the number of frames to be referred to in the super-resolution process in accordance with the frame rate of a moving image when generating a high-resolution image from the frames of a low-resolution moving image.

Abstract: A scaling device for receiving and scaling a digital image signal includes a scaling module and a data quantity control logic. The scaling module scales the digital image signal and then outputs a scaled output signal according to a scaling ratio. The data quantity control logic controls output quantity of the scaled output signal according to a scaling ratio. Thus, when the data quantity outputted from the scaling module is controlled within the data quantity that may be processed by the post stage of the scaling module per unit time, the data quantities that may be processed per unit time in the post stage processing devices of the scaling module approximate a constant value such that the post stage processing speed of the scaling module may be increased.

Abstract: A computer-implemented method for resizing an image using a seam carving algorithm. The method may include measuring energy levels of pixels in an original image to derive an original energy map; applying a filter to an original energy map to derive a first energy map having a scale less than the original energy map; iteratively applying the filter N times, starting with the first energy map, to an energy map from an immediately preceding iteration; upsampling each of the energy maps to a resolution that matches the original energy map; combining the upsampled energy maps with the original energy map to form a composite image; identifying a seam by finding a path in the composite image having lowest energy quantities from one end of the composite image to an opposing end of the composite image; and selectively deleting the identified seam from the original image, thereby yielding a resized image.

Abstract: In some instances, an image may have dimensions that do not correspond to a slot to display the image. For example, an image content item may have dimensions that do not correspond to a content item slot. The image may be resized using seam carving to add or remove pixels of the image. A saliency map for the image may be used having saliency scores for each pixel of the image. Evaluation metrics may be used before, during, and after, seam carving to determine whether salient content is affected by the seam carving. In some instances, a seam cost threshold value may be used for adaptive step size during the seam carving. The resized image may then be outputted, such as for an image content item to be served with a resource.

Abstract: The invention provides a method for processing a digital image in an image file and an electronic device having a function of displaying the digital image stored in the image file. The method is suitable for displaying the digital image on an electronic device including a storage unit and an image processing unit, and includes the following steps: storing a digital image file in the storage unit of the electronic device; analyzing the digital image file to obtain an image matrix of the digital image and a plurality of matrix elements of the image matrix; and generating a first size-reduced image through the image processing unit, where the first size-reduced image corresponds to a first size-reduced image matrix, which includes some of the matrix elements, said some matrix elements being not next to one another in the image matrix.

Abstract: A method implemented in a computing system for converting two-dimensional (2D) video to three-dimensional (3D) format comprises sampling the 2D video, wherein the sampling is performed non-linearly in one or more directions. The method further comprises determining depth information of one or more objects within the 2D video based on sampling information and transforming the 2D video to a 3D-compatible format according to the sampling and the depth information.

Abstract: According to one embodiment, a data reproduction apparatus comprises a reproduction module configured to reproduce image data, a resolution selection module configured to select one of resolutions, an image quality mode selection module configured to select on or off state of an image quality mode, a selection disable module configured to disable the resolution selection module to select a prescribed resolution when the image quality mode selection module selects the on state of the image quality mode, and an image processor configured to improve a quality of the image data reproduced by the reproduction module in accordance with the resolution selected by the resolution selection module when the image quality mode selection module selects the on state of the image quality mode.

Abstract: In a learning process, first, images having different resolutions are obtained from a target region of the subject (S101). Further, the subject characteristic of the target region is obtained (S102). Then, the resolution conversion rules are learned from the images having different resolutions, and those are recorded to a storage device along with the subject characteristics (S103). When converting the resolutions, the resolution conversion rules learned for the corresponding subject characteristics are applied to each region of the original image so as to convert the resolutions of the original image.

Abstract: In order to transfer an image encoded at a high compression rate and suitably increase the resolution of the transferred image, it is provided an image transfer system, comprising: an image transmission unit that transmits an image; and an image reception unit that receives the image transmitted from the image transmission unit. The image transmission unit scales down the image, and transmits the scaled-down image to the image reception unit. The image reception unit calculates an angle between a line displayed in the image transmitted from the image transmission unit and a horizontal direction of the image in correspondence with pixels included in the image, scales up the image transmitted from the image transmission unit, and removes an aliasing component of the scaled-up image based on the calculated angle.

Abstract: Method for the production of an iridescent image (II) from a reference image (IR) is described. The iridescent image (II) comprises an optical selector (SO) selected from an array of cylindrical lenses, an array of spherical lenses and a parallax barrier. The method includes creating a period adapted to the optical selector (SO) and to the reproduction system used; creating a periodic image (IP) filled in a repetitive manner according to said period; creating a dispersed image by applying a dispersion filter to the periodic image (IP), in which the geometric position of the pixels of the periodic image (IP) is modified as function of the values of the corresponding pixels in the reference image (IR); and associating the created dispersed image (ID) with the optical selector (SO). The invention also relates to the iridescent dispersed images obtained using the method, a device comprising said images and an associated program.

Abstract: An image forming apparatus includes: an acquiring unit; a resolution converting unit; a receiving unit; a position determining unit; a correcting unit; and a scaling unit. The acquiring unit acquires image data composed of a plurality of pixels; the scaling-factor determining unit determines a scaling factor of the acquired image data; the resolution converting unit converts a resolution of the acquired image data into a higher resolution than the resolution of the image data; the receiving unit receives a designation of a sub-scanning directional shift amount of a correction pixel to be corrected; a position determining unit performs a position determining process; and the scaling unit scales the image data at the determined scaling factor by causing the position determining unit and the correcting unit.

Abstract: Systems and methods for resizing an icon are disclosed according to various aspects of the subject technology. In one aspect, a computer-implemented method for resizing an icon is disclosed. The method comprises computing an area of the icon, comparing the computed area of the icon with a predetermined area, and resizing the icon based on the comparison such that an area of the resized icon is approximately equal to the predetermined area.

Abstract: An information processing apparatus and an information processing method including a deformation shape model generation unit configured to generate, from information about a first shape and a first position of a feature region in a target object under a first deformation condition, a deformation of the first shape with the position of the feature region as a reference as a model, and a deformation estimation unit configured to, based on information about a second shape and a second position corresponding to the feature region in the target object under the second deformation condition, align the first position with the second position to estimate deformation from the first shape to the second shape using the model.

Abstract: Some embodiments provide a program that provides a graphical user interface (GUI). The GUI includes a display area for displaying an image that includes several pixels. The GUI includes a selectable masking tool for displaying in the display area an adjustable closed curve to identify a region in the image to apply a color correction operation. The selectable masking tool includes a selectable control for modifying the adjustable closed curve through a range of elliptical shapes that ranges from a pure ellipse to an approximate rectangle. The GUI includes a selectable GUI item for applying the color correction operation based on the selectable masking tool.

Abstract: The technology disclosed relates to scanning of large flat substrates for reading and writing images. Examples are flat panel displays, PCB's and photovoltaic panels. Reading and writing is to be understood in a broad sense: reading may mean microscopy, inspection, metrology, spectroscopy, interferometry, scatterometry, etc. of a large workpiece, and writing may mean exposing a photoresist, annealing by optical heating, ablating, or creating any other change to the surface by an optical beam. In particular, we disclose a technology that uses a rotating or swinging arm that describes an arc across a workpiece as it scans, instead of following a traditional straight-line motion.

Abstract: Embodiments for contextual variable scaling relate to selection of objects. For example, such objects may include text, audio, visual, and/or physical objects. In one or more examples, such objects may be selected for variable scaling. For example, variable scaling of such selected objects may be based at least in part on a beginning attribute value and/or an ending attribute value.

Abstract: Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.

Abstract: A system for generating virtual interest points in an image, according to detected interest points in that image is detected by an interest point detector. The system includes: an interest point density map producer and an interest point generator, the interest point density map producer receiving the image including the detected interest points, the interest point density map producer extracts a density map of the detected interest points within the image. The interest point generator is coupled with the interest point density map producer, the interest point generator receiving the image including the detected interest points and the interest point density map. The interest point generator determines image areas for generating virtual interest points, the interest point generator generating at least one virtual interest point at the determined areas according to at least the position of one of the detected interest points, the virtual interest point not being detected by the interest point detector.

Abstract: A portion of a digital image is displayed where the portion that is displayed depends upon a mask. After the portion of the digital image is displayed, a change to the mask is received. It is determined, based at least in part on the received change to the mask, a transformation to be applied to the digital image. A new portion of the digital image is displayed based at least in part on the changed mask and the determined transformation, where the new portion that is displayed has the same center point as the previously displayed portion.

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: A method and system for printing simple data utilizing a raster image processor in a computer system is disclosed. The raster image processor is configured for use with a complex data stream corresponding to at least one complex page description language. The method and system include embedding at least one control structure in the complex data stream. The control structure(s) are for informing the raster image processor of the simple data. The method and system also include converting the simple data into a printable format based on the at least one control structure and without using the complex page description language to convert a portion of the complex data stream corresponding to the simple data into the printable format. The method and system also include converting a remaining portion of the complex data stream into the printable format using the complex page description language.

Abstract: Certain embodiments relate to processing images by creating scale space images from an image and using them to identify boundaries of objects in the image. The scale space images can have varying levels of detail. They are used to determine a potential map, which represents a likelihood for pixels to be within or outside a boundary of an object. A label estimating an object boundary can be generated and used to identify pixels that potentially may be within the boundary. An image with object boundaries identified can be further processed before exhibition. For example, the images may be two-dimensional images of a motion picture. Object boundaries can be identified and the two-dimensional (2D) images can be processed using the identified object boundaries and converted to three-dimensional (3D) images for exhibition.

Abstract: A method and apparatus may include aligning a reference image and an input image through ROI-based image alignment; detecting an ROI associated with an incompletely aligned region in the aligned image; and blending the aligned reference image and input image by using a plurality of weights which are attenuated according to a spatial distance from a boundary of the detected ROI. In addition, the method and apparatus may include aligning a reference image and an input image through image alignment based on an nth region of interest (ROI) which is detected at a previous stage; detecting another ROI associated with an incompletely aligned region in the aligned image; and blending the aligned image in the other ROI and an (n+1)th blended image, which is input from a next stage, in a region outside the other ROI, and outputting the last blended image to the previous stage.

Abstract: A color designation control device includes: an image acquisition section that acquires a color image; and a display control section that displays a user interface screen, which includes at least a preview image of the acquired color image and a hue scale representing a change in hue, on a predetermined display while accepting designation of a position or a region within the preview image, acquiring a hue at the designated position or in the designated region from the preview image, and adding a specific indication for a range within the hue scale corresponding to the acquired hue.

Abstract: An information processing apparatus includes a designation unit which designates an object, a sensing unit which senses a change which exceeds a threshold value in at least a part of the object when a user zooms in on the object, and a zoom unit which zooms in on the object at the zoom rate which is just less than that when there is a change that exceeds the threshold value in at least a part of the object if there is a change that exceeds the threshold value in at least a part of the object when the user zooms in on the object at the designated zoom rate, and which zooms in on the object if there is no change that exceeds the threshold value in at least a part of the object even when the user zooms in on the object at the designated zoom rate.

Abstract: A video processing method enlarging and enhancing sharpness of input video data includes following steps. First, N sets of pixel row data of the input video data are respectively buffered in N linear buffers, N is a natural number. Next, I sets of enlarged pixel row data are generated by interpolation according to the buffered N sets of pixel row data in the N linear buffers and a currently inputted set of pixel row data, I is a natural number greater than N. Then, I sets of smoothed and enlarged pixel row data are generated according to the buffered N sets of pixel row data in the N linear buffers and the (N+1)th set of pixel row data. Thereafter, I sets of sharpness-enhanced pixel row data are obtained according to the I sets of enlarged pixel row data and the I sets of smoothed and enlarged pixel row data.

Abstract: An operation screen generating apparatus includes: an image-in-work-screen generating unit that displays a subject image on a work screen, which is displayed at an aspect ratio same as that of a print area, in a display position and at a display magnification designated by user operation; and an image-in-confirmation-screen generating unit that displays in enlargement, on a confirmation screen prepared separately from the work screen, a reference line representing an outer edge position of the work screen and a subject image located near an outside and an inside of the reference line.

Abstract: An example of a game apparatus includes a CPU, and in a mode of examining a flower based on an imaged image, the CPU activates two outward cameras to thereby display an imaging screen on a stereoscopic LCD and a lower LCD. In the center of an upper screen displayed on the stereoscopic LCD, a designation image for adjusting a position and a size of an object to be imaged is displayed. Also, on the upper screen, a through image imaged by the outward camera is displayed, and the designation image is displayed in front of the through image. At this time, the designation image is displayed in a complementary color of a color of the through image.

Abstract: It is arranged so that stereoscopic images will not overlap one another. A stereoscopic image to be pasted in a free-layout electronic album is selected. The amount of parallax of the stereoscopic image to be pasted in this electronic album is set. When this is done, the selected stereoscopic image is enlarged or reduced in size so as to take on the set amount of parallax. Automatic layout for pasting enlarged or reduced stereoscopic images on each page of the electronic album in such a manner that these stereoscopic images will not overlap one another is carried out. The result of the layout is displayed.

Abstract: Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.

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 display panel driver includes a color reducing circuit and a driving section. The driving section is configured to drive a first pixel and a second pixel. If a second input image data and a third input image data corresponding to the second pixel are supplied as an image data of a second image display format, then the color reducing circuit generates a third color reduction image data and a fourth color reduction image data. If the first input image data is supplied as the image data of the first image display format, then the first selector selects the third error value, and if the second input image data and the third input image data are supplied as the image data of the second image display format, then the first selector selects the second error value.

Abstract: The methods and systems of this invention allow for independent adaptive control of ringing and overshoot effects in 2-dimensional array interpolation processes, including in image and video rescaling and analysis. The methods and systems can use either a column-wise or a row-wise interpolation, or a combination thereof. Each uses a respective preliminary interpolation of data, followed by ringing and/or overshoot control. Controllable parameters allow variability in the amount of ringing and/or overshoot retained in the interpolated data. The ringing and overshoot controls apply a local analysis of the data to adjust the preliminary interpolation results. The methods may be repeated iteratively, for example, to obtain a desired rescaling of an image data array.

Abstract: Disclosed is a high-resolution image reconstruction method using a focal underdetermined system solver (FOCUSS) algorithm. The method comprises the steps of: outputting data for an image of an object; downsampling the outputted data; transforming the downsampled data into low-resolution image frequency data; and reconstructing a high-resolution image from the transformed low-resolution image frequency data by applying focal underdetermined system solver (FOCUSS) algorithm.