Abstract: An image processing apparatus includes a hue identifying unit that identifies to which hue region among three or more hue regions provided in a color space a hue of each pixel contained in input image data belongs; an output-color converting unit that converts a color of each pixel to a predetermined output color in accordance with the identified hue region; a luminance calculating unit that selects a luminance calculation coefficient corresponding to the identified hue region of each pixel from among luminance calculation coefficients determined for the respective hue regions, and calculates luminance to be applied to each pixel of image data converted to the output color, on the basis of the selected luminance calculation coefficient; and an image-data generating unit that applies the calculated luminance to each pixel in the converted image data to generate color-reduced image data containing a reduced number of colors than the input image data.

Abstract: A color correction system includes an identical first color chart (FCC) and a second color chart (SCC), and a color correction unit (CCU). The FCC and the subject are positioned in view of a source image capture device (SICD) at a source location. The SCC and a display unit are positioned in view of a destination image capture device (DICD) at the destination location. The SICD captures and transmits source image content (SIC) of the subject and the FCC to the CCU at the destination location via a network. The DICD captures destination image content (DIC) of the SCC and the SIC displayed on the display unit. The CCU generates calibration parameters by comparing the FCC extracted from the SIC and/or the DIC, with the SCC extracted from the DIC, and corrects the SIC of the subject and gamma parameters on the display unit using the generated calibration parameters.

Abstract: Methods of updating image segmentation following user input are described. In an embodiment, the properties used in computing the different portions of the image are updated as a result of one or more user inputs. Image elements which have been identified by a user input are given more weight when updating the properties than other image elements which have already been assigned to a particular portion of the image. In another embodiment, an updated segmentation is post-processed such that only regions which are connected to an appropriate user input are updated.

Abstract: Methods and systems for detecting trees in aerial imagery are provided. A method for detecting trees in aerial imagery may include training a pixel-level classifier to assign a tree or non-tree label to each pixel in an aerial image. The method may further include segmenting tree and non-tree regions of the labeled pixels. The method may also include locating individual tree crowns in the segmented tree regions using one or more tree templates. A system for detecting trees in aerial imagery may include a trainer, a segmenter and a tree locator.

Abstract: Aspects of the present invention are related to systems and methods for identifying a document region in a non-scanned image. A first candidate document region-of-interest mask may be determined from a luminance-only image by foreground elimination, non-uniformity reduction and thresholding. A second candidate document region-of-interest mask may be formed by subtracting from the first candidate document region-of-interest mask an edge mask resulting from detecting edges in the luminance-only input image. The second candidate document region-of-interest mask may be refined, to form a final document region-of-interest mask, based on text features calculated from the luminance-only input image. The document region-of-interest may be extracted using the final document region-of-interest mask.

Abstract: A medical image processing apparatus includes a first extraction part, an adding part, a first specifying part, and a second specifying part. The first extraction part extracts an air region from volume data after receiving volume data representing a region including an organ under observation. The adding part adds pixel values of the pixels in the air region along a predetermined projection direction to generate projection image data representing the distribution of the added value of pixel values. The first specifying part specifies a first characteristic point from the projection image data. The second specifying part specifies, as a second characteristic point, a point on a line passing a first characteristic point in an air region.

Abstract: System and method for converting source image data to tile data by (a) selecting a source image set, (b) computing a scaling value for the source image set, (c) selecting a base scale for a tile set to be created based on the scaling value, (d) establishing the tile set geographic bounds of the tile set, (e) converting the tile set geographic bounds, (f) for each source image from each source image set (i) determining source image geographic bounds of the source image, (ii) if there is an intersection between the source image geographic bounds and the tile set geographic bounds, (1) loading the source image from a LRU cache, if possible, (2) if the source image is not in the LRU cache, loading the source image into the LRU cache, (3) extracting image data from the source image at the intersection, (4) scaling the image data based on the base scale, (5) storing the scaled image data to a tile storage mechanism, (g) clearing the LRU cache, and (h) repeating steps (a) through (g) for each source image set.

Abstract: A method for storing a document recognition result is proposed. The method includes selecting a picture area from a document image, storing an image of the selected picture area in an image file format, removing the selected picture area, filling the removed picture area with a surrounding background color, and performing character recognition of a text area.

Abstract: A system for verifying and correcting errors after translation of printed text into machine-readable text. The system includes a memory for storing formulas defining relationships between data fields. A processor evaluates the formulas according to data values associated with the data fields to determine whether the formulas evaluate as truthful statements. The processor marks the data fields of the formulas as unverified or as verified based upon this evaluation. The system also uses the processor to calculate a determined value for data fields in an attempt to correct errors in the translation of the printed text into machine-readable text. If different determined values are calculated for the same data field, based upon different formulas, the data field is marked as uncertain. The system iterates based upon the marking of the data fields of the formulas as verified or unverified and as uncertain or not uncertain.

Abstract: A marker generating system is characterized in having a special feature extracting element that extracts a portion, as a special feature, including a distinctive pattern in a video image not including a marker; a unique special feature selecting element that, based on the extracted special feature, selects a special feature of an image, as a unique special feature, that does not appear on the video image; and a marker generating element that generates a marker based on the unique special feature.

Abstract: An image-capturing device including an image-capturing element, a data extraction device, a recording device, a reproduction device, and a display control device is provided. The image-capturing element captures an image of a photographic subject and outputs image data. The data extraction device extracts data corresponding to a region designated in advance within the image data outputted from the image-capturing element. The recording device records the extracted data and the image data into a recording medium individually. The reproduction device reads out the extracted data from the recording medium. The display control device outputs an image signal to a display device, so as to display an image according to the extracted data read out by the reproduction device.

Abstract: A congestion estimating apparatus includes an area dividing unit that divides a moving image into partial areas. A movement information determining unit determines whether there is movement, and a person information determining unit determines whether there is a person, in each partial area. A staying determining unit determines a state for each partial area. The staying determining unit determines the state as a movement area in which there is a movement of person when there is movement and there is a person; and determines the state as a noise area when there is movement and there is no person; and determines the state as a staying area in which there is a person who is staying when there is no movement and there is a person; and determines the state as a background area in which there is no person when there is no movement and there no person.

Abstract: In one aspect, a method to reduce false alarms in identifying whether a candidate image is from an object class includes projecting the candidate image onto an object class subspace and projecting the candidate image onto a non-object class subspace. The method also includes determining whether the candidate image is from the object class using a Bayesian decision function based on the projections on the object class subspace and the non-object class subspace. In another aspect, a method to reduce false alarms in identifying whether a candidate mine image is from a mine class includes projecting the candidate mine image onto a mine subspace and projecting the candidate mine image onto a non-mine subspace. The method also includes determining whether the candidate mine image represents a mine using a Bayesian decision function based on the projections on the mine class subspace and the non-mine class subspace.

Abstract: Matching combinations of regions are identified in a first and second image of a common scene. First and second sets of image regions are first identified in the first and second image on their own. Next a search is made for potentially matching first and second regions from the first and second set. First and second geometrical parameters such as moments are computed, which provide a first order approximation of the shapes of the first and second region respectively, in terms of the size and directions of major and minor axes of ellipses. These first and second geometrical parameters may be considered to define a first and second normalizing map, which map the first and second regions to isotropic regions, wherein the ellipses become circles. A search is made for closest third and fourth regions in the first and second image with matching distances to the first and second regions in spaces obtainable by mapping locations in the first and second image according to the first and second normalizing maps.

Abstract: To provide a lane recognition system which can improve the lane recognition accuracy by suppressing noises that are likely to be generated respectively in an original image and a bird's-eye image. The lane recognition system recognizes a lane based on an image. The system includes: a synthesized bird's-eye image creation module which creates a synthesized bird's-eye image by connecting a plurality of bird's-eye images that are obtained by transforming respective partial regions of original images picked up at a plurality of different times into bird's-eye images; a lane line candidate extraction module which detects a lane line candidate by using information of the original images or the bird's-eye images created from the original images, and the synthesized bird's-eye image; and a lane line position estimation module which estimates a lane line position based on information of the lane line candidate.

Abstract: A system and method for an automatic drawing comparison are disclosed. A batch capture processing module captures a plurality of pairs of drawing picture frames, and a drawing normalization module normalizes the pairs of drawing picture frames of the plurality to establish pairs of normalized drawing picture frames. A drawing comparison module compares each drawing picture frame of each of the respective pairs to generate respective drawing comparisons thereof, and a statistical data generator module communicates a statistical report identifying which of the respective drawing comparisons are recommended and not recommended for review.

Abstract: An image processing system includes a difference detecting module for determining whether second image data is identical to first image data to generate a determination result, and an image processing module for processing the first image data to generate a first image processed result and selectively processing the second image data. The image processing module includes a data path and a control path. According to a reference clock signal, the first and second image data are transmitted via the data path, and the determination result is transmitted via the control path. When the determination result is affirmative, the reference clock signal provided to the data path is gated, so that, without processing the second image data, the image processing module outputs the first image processed result as a second image output corresponding to the second image data.

Abstract: For each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of a plurality of hand parts, a set of feature parameters representing a geometry of the digitally-imaged hand part is computed. The set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts is/are used to compute distances of the set of digitally-imaged hand parts from each of i) a first eigenspace corresponding to a male class, and ii) a second eigenspace corresponding to a female class. The computed distances are used to classify the gender of a hand as belonging to the male class or the female class.

Abstract: Modified compression/decompression and metadata in burst mode images reduce the storage space consumed by burst mode images. Metadata is added to image files (e.g., EXIF files) to establish links between images in a burst mode image series. A series of linked burst mode images can include delta images representing a temporal difference between the image data (e.g., pixel data) for two burst images captured at different time instances. Difference information can be compressed. A root image for a linked burst mode series can be identified and used as a reference for other burst images. Metadata can be added to image files to link burst images prior to compression, after compression, or at an intermediate stage of compression of image data. Difference information for delta image files can be derived prior to compression, after compression, or at an intermediate stage of compression of image data.

Abstract: Techniques for a compressed image with alpha channel data are described. Encoded alpha channel data from a compressed image representation may be extracted. A common type pixel run characteristic may be determined for at least one common type pixel run represented in the encoded alpha channel data. A common alpha channel value is applied, based on the common type pixel run characteristic, to pixels in a decompressed image representation correlated to the at least one common type pixel run. Pixels in the decompressed image representation correlating to at least one lookup type pixel run represented in the encoded alpha channel data may be processed. The processing may include a determination of an alpha channel value based on pixel data, specific to a pixel correlated to the lookup type pixel run, in the encoded alpha channel data and an application of the alpha channel value to the pixel.

Abstract: There are provided an encoding device, a decoding device, an encoding method, and a decoding method that enhance optimality in a case of encoding moving image signals having no sample ratio distinction between color components such as a 4:4:4 format. In a case of conducting compression encoding by inputting digital moving image signals of the 4:4:4 format, there are prepared a first encoding process of encoding three color component signals of the input moving image signals in a common encoding mode, and a second encoding process of encoding the three color component signals of the input moving image signals in respective independent encoding modes. The encoding process is executed by selecting any one of the first encoding process and the second encoding process, and the compression data contains an identification signal for specifying which process is selected.

Abstract: According to one embodiment an image encoder encodes original image data using reference image data stored in a frame memory. The image encoder includes a controller, a memory, a motion controller, and a motion compensation module. The controller generates control information including a starting point coordinate and an ending point coordinate of a necessary area in the reference image data stored in the frame memory. The memory includes a storage area in which at least part of the reference image data is stored. The motion controller determines whether the necessary area is a transfer-necessary area or a transfer-unnecessary area based on the control information, and transfers the reference image data of the transfer-necessary area from the frame memory to the storage area. The motion compensation module generates prediction image data using the reference image data stored in the storage area.

Abstract: In one embodiment, the apparatus includes a decoder. The decoder is configured to obtain first and second motion vectors of a block other than the current block. The other block neighbors the current block at one of a left, top and top right position. The decoder is configured to determine first and second motion vectors of the current block using the first and second motion vectors of the other block such that the first motion vector of the current block has a same direction as the first motion vector of the other block and the second motion vector of the current block has a same direction as the second motion vector of the other block.

Abstract: A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.

Abstract: Computer implemented methods for compressing 3D hyperspectral image data having a plurality of spatial pixels associated with a hyperspectral image, and a number of spectral dimensions associated with each spatial pixel, include receiving, using a processor, the 3D hyperspectral image data, a set of basis vectors associated therewith, and either a maximum error amount or a maximum data size. The methods also include partitioning the 3D hyperspectral image data into a plurality of 2D images, each associated with one of the number of spectral dimensions, and an associated one of the set of basis vectors. The methods additionally include ranking the set of basis vectors if not already ranked. The methods may further include iteratively applying lossy compression to the 2D images, in an order determined by the ranking. Other embodiments and features are also disclosed.

Abstract: A wavelet coefficient quantization method using a human visual model in an image compression process is provided, which is particularly suitable for remote sensing image compression. A wavelet-domain visual quantization model is obtained through experiments based on human visual characteristics, so as to reflect the relation between distortion of wavelet coefficient blocks and human visual characteristics. The model includes a luminance component, a masking component and a frequency component, where the luminance component is calculated by low frequency coefficients after the kth level wavelet transform, the masking component is calculated by high frequency coefficients of the second and third levels, and the frequency component is calculated by a statistical method. The method may be used in combination with any mainstream wavelet compression method such as EZW, SPIHT or EBCOT.

Abstract: A method and system for segmenting a plurality of images. The method comprises the steps of segmenting the image through a novel clustering technique that is, generating a composite depth map including temporally stable segments of the image as well as segments in subsequent images that have changed. These changes may be determined by determining one or more differences between the temporally stable depth map and segments included in one or more subsequent frames. Thereafter, the portions of the one or more subsequent frames that include segments including changes from their corresponding segments in the temporally stable depth map are processed and are combined with the segments from the temporally stable depth map to compute their associated disparities in one or more subsequent frames. The images may include a pair of stereo images acquired through a stereo camera system at a substantially similar time.

Abstract: A photogrammetry system and method provide for determining the relative position between two objects. The system utilizes one or more imaging devices, such as high speed cameras, that are mounted on a first body, and three or more photogrammetry targets of a known location on a second body. The system and method can be utilized with cameras having fish-eye, hyperbolic, omnidirectional, or other lenses. The system and method do not require overlapping fields-of-view if two or more cameras are utilized. The system and method derive relative orientation by equally weighting information from an arbitrary number of heterogeneous cameras, all with non-overlapping fields-of-view. Furthermore, the system can make the measurements with arbitrary wide-angle lenses on the cameras.

Abstract: An image correction apparatus includes a smoothing unit, a blurred area detection unit, a correction amount calculation unit, and a correction unit. The smoothing unit smoothes an input image. The blurred area detection unit detects, for each pixel of a smoothed image obtained by the smoothing unit, whether or not each of the pixels is included in a blurred area. The correction amount calculation unit calculates an amount of a correction for a pixel that belongs to the blurred area based on the smoothed image. The correction unit corrects the input image by using the amount of a correction calculated by the correction amount calculation unit.

Abstract: Systems, methods and computer program products are disclosed for automatic image sharpening. Automatic image sharpening techniques are disclosed that automatically bring a blurred image into focus. Techniques for reducing edge ringing in sharpened images are also disclosed. According to implementations, a computer-implemented method includes determining a normalized entropy of a first image, calculating a correlation target based on the normalized entropy, automatically determining a blur radius of a de-convolution kernel that causes a cosine of a first radial power spectrum of the kernel and a second radial power spectrum of a reconstruction of the first image to approximate the correlation target and generating a second image based on the blur radius.

Abstract: A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.

Abstract: An image signal processing apparatus including a first tone correcting section for generating a first image signal by performing a space-variant tone conversion process for a digitalized image signal from a CCD and an A/D converting section, a second tone correcting section for generating a second image signal by performing a space-invariant tone correction process for the digitalized image signal from the CCD and the A/D converting section, and a synthesizing section for setting a synthesis rate R1 of the first image signal and a synthesis rate R2 of the second image signal, and synthesizing the first image signal and the second image signal based on the set synthesis rates R1 and R2.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating intrinsic images corresponding to the image, and performing a relationship maintenance process to correct artifacts in the intrinsic images.

Abstract: A method of correcting an artifact in a captured image includes generating a binary map that corresponds to the artifact in the captured image. The method also includes generating a luminance mask from the binary map, the luminance mask applying a level of correction near an edge of the artifact that is different from a level of correction applied at the center of the artifact and generating, a chrominance mask to correct a color of the artifact. The method further includes performing corrections to pixels according to the luminance and the chrominance masks.

Abstract: A signal processing device first decomposes an input signal into a plurality of frequency components in different frequency ranges, then causes a higher harmonic wave generating section to generate a higher harmonic for each of a part or all of frequency components obtained by removing a frequency component in the lowest frequency range from frequency components obtained by the decomposition, and finally composes (i) the higher harmonic thus generated and (ii) a frequency component for which no higher harmonic has been generated. The higher harmonic wave generating section adds the frequency component and a nonlinear process signal (i) in which positive and negative signs of a frequency component for which the higher harmonic is to be generated are retained and (ii) which broadly monotonically increases nonlinearly with respect to the frequency component when the frequency component is located at least in the vicinity of zero.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, augmenting a preselected area of the image in a manner to decrease a number of token regions representing the preselected area, and identifying token regions in the augmented image.

Abstract: A method of deriving a representation of an image by processing signals corresponding to the image, the method comprises deriving a function of the image, where a function of a translated, scaled or rotated version of the image is a translated or scaled version of the derived function of the image, and using a plurality of frequency components of a frequency representation of the function to derive a representation of the image.

Abstract: A method for removing cyclic noise from a borehole image includes transforming the image into the frequency domain using a two-dimensional (2-D) Fourier Transform, removing cyclic noise components from the transformed image, and inverse transforming the image back into the spatial domain using an inverse 2-D Fourier Transform. The cyclic noise component may also be isolated by subtracting the corrected image from the original image or by removing all non-cyclic noise components from the transformed image prior to inverse transforming. Removal of the cyclic noise from a borehole image tends to enable the identification of borehole features and provide for improved accuracy in formation parameter evaluation. Evaluation of the cyclic noise component may also enable the source of the noise to be identified and mitigated.

Abstract: A method for proactively creating an image-based product includes identifying a group of images and automatically creating a design for a image-based product without receiving a user's request if the number of images in the group is determined to be within a predetermined range. The image-based product incorporates a plurality of images in the group. The method further includes presenting the design of the image-based product to a user for preview and making a physical manifestation of the image-based product based on the design.

Abstract: Automated valuation model with customizable neighborhood determination. A map image is displayed corresponding to a geographical area, and then user input accommodates definition of a particularly defined geographic area to provide custom identification of a neighborhood to be subject to automated valuation. Once the defined geographic area is established, the automated valuation model is applied to property data corresponding to properties within the defined geographic area. A subject property and corresponding properties within the defined geographic area are then displayed on a map image, preferably with articulation of the defined geographic area as the neighborhood of interest. The neighborhood may be defined by, among other criteria, inclusion within a user-defined shape, as well as exclusion of a user-defined shape from a displayed geographic area.

Abstract: An image processing apparatus includes an acquiring unit, a specifying unit, a search unit and a difference extracting unit. The acquiring unit acquires a first image and a second image. The specifying unit specifies one or more image areas included in the first image. The search unit searches the second image for an image area corresponding to each of the one or more image areas specified by the specifying unit. The difference extracting unit extracts a difference between the corresponding image area obtained by the search unit and each of the one or more image areas specified by the specifying unit.

Abstract: A method for scaling an image includes providing a set of filters based upon a low-resolution data set and a high-resolution data set suitable for up-scaling a low resolution image to a high resolution image. The filters are collectively representative of at least a portion of an image space and a substantial number of the filters are representative of a different at least one selected from a volume and a shape within the image space. A low-resolution image is received and generates a corresponding high-resolution image based up the filters.

Abstract: Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.

Abstract: A marker corresponding to an editing state at an arbitrary point in time of image data being edited is stored in memory. The image of an arbitrary editing state can be displayed by a user selecting the displayed marker. The original image data is not updated. When saving the image data file, the saved editing state at an arbitrary point of time can be saved as a single file together with the original image data. By selecting a plurality of markers, images corresponding to a plurality of processing states can be displayed simultaneously. A marker can be used to create a new image data file of a desired processing state, or a plurality of markers can be selected to create a plurality of new image data files. Image data can be displayed as thumbnail images, and thumbnail images and ordinary images can be concurrently displayed.

Abstract: A system and method are described for creating, managing and sharing photo stories. For example, one embodiment of a computer implemented method for selecting among a plurality of different photo story templates comprises: receiving a plurality of new photos from a user the photos having metadata associated; analyzing the photos and the metadata associated with the photos; responsively grouping the photos into a plurality of different photo stories based on the analysis of the photos and the metadata associated with the photos; and selecting a set of photo story design templates for each of the different photo stories based on the analysis of the photos and the metadata associated with the photos grouped into the different photo stories.

Abstract: A method and apparatus for an improved workflow for digital image editing is disclosed. The method comprises accessing a file containing a plurality of effects to apply to an image; merging a plurality of visible layers of the image to create a merged layer; applying the plurality of effects to the merged layer; installing a layer mask on the merged layer; and applying a plurality of user strokes made during an image editing process to the installed layer mask.

Abstract: A method and system to determine validity of a printed document is provided. An example system comprises a validation module and an alert module. The validation module may be configured to detect, using a scanning device, a document identification associated with a printed document and determine, based on the document identification, a state of the electronic document The alert module may be configured to trigger an alert, based on the determined state of the electronic document.

Abstract: A hitless tunable filter may include a ring resonator, a Mach-Zehnder coupler, and first and second phase shifters. The Mach-Zehnder coupler may include a switching arm that is coupled to the ring resonator at first and second coupling points. The first phase shifter may be used to introduce a first phase shift to light propagating through the ring resonator, while the second phase shifter may be used to introduce a second phase shift to light propagating through the Mach-Zehnder coupler. The Mach-Zehnder coupler may have a free spectral range substantially equal to a free spectral range of the ring resonator divided by a non-negative integer.

Abstract: Provided is an integrated optical current sensor for measuring the magnitude of current. The integrated optical current sensor is fabricated by integrating optical elements, such as a thermo-optic phase modulator, a waveguide polarizer and an optical coupler, on a single substrate. As compared to the known current sensors using optical fibers, the integrated optical current sensor is more compact and enables measurement of current with higher reliability. Provided also is a method for producing current sensor chips in a large scale by using a process for fabricating integrated optical elements.

Abstract: An optical modulator includes: a semiconductor chip; a waveguide in the semiconductor chip; a traveling wave electrode including an input portion and an output portion, to which a signal is applied for modulating light passing through the waveguide; a power supply line connected to the input portion via a first wire; and a termination resistor connected to the output portion via a second wire. Capacitance between the output portion and a grounding point is larger than capacitance between the input portion and the grounding point.