Abstract: An X-ray imaging system comprises: an imaging unit for irradiating a subject with X ray at different angles while moving an X-ray source in one direction in tomosynthesis imaging, detecting the X ray with which the subject has been irradiated with a flat panel detector to acquire projection data of X-ray images taken at different angles; and an image processor for reconstructing a first X-ray tomographic image using projection data acquired by the imaging unit, the image processor including: a correction decision unit for selecting, according to a given selection condition, one of previously provided different corrections to be performed on the projection data; a first image correction unit for performing correction based upon the correction selected by the correction decision unit on the projection data; and a first image reconstruction unit for reconstructing the first X-ray tomographic image using the corrected projection data.

Abstract: A method for identifying motion video content, forming a registered fingerprint database in advance for video contents of broadcasting video signals, wherein said method at least comprises the steps of storing a consecutive of video frame images of a motion video content to be identified into a frame buffer; obtaining sample values on the video frame images by a frame sampler; holding the sample values in a fingerprint store as a fingerprint A for search in the fingerprint database; and performing a fingerprint pattern matching algorithm between the fingerprint A for search in the fingerprint database and fingerprints B contained in the fingerprint database so as to determine whether the motion video content has ever been broadcasted before. The method according to the present invention can effectively organize, archive, and search video content; lower the cost of digital storage devices; and identify video content efficiently and with minimal or no human interactions.

Abstract: An improvement of measuring geometry parameters of a geometry object from an image with a reference object whose thickness can not be ignored. A hidden point on the plane with which geometry object contacts is computed from visible points. The computed hidden point combined with other points in the same plane is used to compute a homography matrix between a known size shape and its projection in the image. With the computed homography matrix and enough valid points in the image, the geometry parameters of the geometry object are determined. With the geometry parameters of the geometry objects, useful information can be calculated from.

Abstract: A method of transmitting a data set comprising at least one medical data from a first imaging station to at least one other imaging station via a network interface in a DICOM standard communication system is provided. The method comprises the acts of selecting a first medical data from the data set for transmission; checking a memory of the first imaging station for a receipt of an acknowledgement signal indicative of a successful transmission of the first medical data to the at least one other imaging station; transmitting the medical data if the act of checking does not detect the receipt of acknowledgement signal; receiving the acknowledgment signal from the at least one other imaging station in response to a successful receipt of the first medical data at the at least one other imagine station; and storing the receipt of acknowledgement signal in the memory of the first imaging station.

Abstract: Image contrast enhancement includes (i) computing a contrast measure incorporating an adjustable tone transformation function and one or more statistical measures of selected spatial arrangements of pixel or voxel intensities in an analysis image or image portion, (ii) adjusting the adjustable tone transformation function to increase contrast as indicated by the contrast measure, and (iii) enhancing contrast of a target image or image portion using the adjusted tone transformation function.

Abstract: Methods and a processing device are provided for restoring pixels damaged by artifacts caused by dust, or other particles, entering a digital image capturing device. A user interface may be provided for a user to indicate an approximate location of an artifact appearing in a digital image. Dust attenuation may be estimated and an inverse transformation, based on the estimated dust attenuation, may be applied to damaged pixels in order to recover an estimate of the underlying digital image. One or many candidate source patch may be selected based on having smallest pixel distances, with respect to a target patch area. The damaged pixels included in the target patch area may be considered when calculating the pixel distance with respect to candidate source patches. RGB values of corresponding pixels of source patches may be used to restore the damaged pixels included in the target patch area.

Abstract: There is provided an image processing apparatus and an image processing method capable of exerting a noise reduction effect corresponding to a pixel value of a target pixel. An image processing apparatus that reduces a noise included in a target pixel while reflecting a surrounding pixel located on a surrounding of the target pixel, comprises a selecting section that selects a pixel width tolerable with reference to a true value of the target pixel as a pixel value of the target pixel and correcting section that extracts either one or both pixel values, namely, a pixel value of the surrounding pixel and the pixel value of the target pixel, as a correction value for correcting the pixel value of the target pixel depending on the pixel width selected by the selecting portion.

Abstract: Disclosed are a system and a method for a computerized automatic placement of objects in media files in post-production. Embodiments of the present invention enable the automatic placement of objects which appear in a media file, such as a digital video file. According to one embodiment of the present invention, the disclosed system and method allow the replacement of a specific pattern which appears in a given video file with a new image, in a fully transparent manner. According to embodiments of the present invention the makers of the media file place a designated pattern in the media file, such as a sticker on an object. Embodiments of the present invention enable the replacing of a new image on the designated pattern on the sticker with a new image.

Abstract: The present invention is directed to a digital image content-adaptive contrast improving method. The method includes forming a piecewise linear tone remapping function for a digital image according to the histogram thereof. The piecewise linear tone remapping function is formed by repeatedly performing a first and a second step. The first step determines a starting linear tone mapping function for a specific range of luminance values. The second step generates a new tone mapping function for the specific range of luminance values based on the starting linear tone mapping function and the histogram. An apparatus for implementing the method is also provided.

Abstract: A filtering system and method are disclosed, to perform simultaneous, de-noising, and details enhancement tasks of a video image. The efficient filtering system includes multiple filters, which operate on a portion of the video image that has been partitioned into multiple rings. Using the filtering system, complex mathematical operations are avoided.

Abstract: Systems and methods for signal analysis using orbits of a chaotic system are provided. For example, a multiresolution analysis may be constructed and cupolets may be used to approximate arbitrary signals and compress images. Cupolets may be phase transformed to produce compact cupolets that are well-suited for producing sharp changes in signals, or to produce compact cupolets that are more oscillatory and have less or no sharp global maximum amplitudes. Alternatively, cupolets may be phase transformed to allow for optimal or near optimal adjustment to fit a signal.

Abstract: A thinned output image is generated from an input image. Values of pixels surrounding a pixel of interest in the input image are determined, and first and second neighboring pixel patterns surrounding the pixel of interest are established based on the values of the pixels surrounding the pixel of interest. The first neighboring pixel pattern may be compared to each of a set of purge patterns to determine whether to eliminate the pixel, and the second neighboring pixel pattern may be compared to each of a set of conservation patterns to determine whether to conserve the pixel. The comparisons to the purge and conservation patterns are performed for each pixel independently, and in parallel for all pixels of the input image.

Abstract: There is disclosed an image resolution adjustment method comprising the steps of: performing a predetermined selection rule to select one of scaling modes based on a source resolution Vi and a display resolution Vo to generate a scaling value set for outputting a scaled image; and determining whether a smoothing process to determine whether or not the scaled image is smoothed based on application requirements, wherein the scaling modes comprises a first scaling mode, a second scaling mode and a third scaling mode to generate each of the corresponding scaling value set, respectively. The scaling value set is provided to generate replicated pixels or lines for each pixel or line of the source image during a horizontal or vertical scaling period, and the replicated pixels or lines are arranged in horizontal or vertical symmetry in relation to its central region of the source image.

Abstract: An image processing method of the invention includes changing tone values of peripheral pixels by performing a filtering process in respect to the peripheral pixels around a pixel of interest, after determining the pixel of interest; and changing a tone value of the pixel of interest, based on the peripheral pixels that have been filter processed.

Abstract: An erosion image is generated from an original digital image utilizing a processing image (b) and a target image (T), where each pixel in the target image is processed in parallel. The process entails, for each target pixel, i) determining coordinate values for the target pixel, ii) determining a surrounding pixel area for the target pixel, iii) and processing each pixel in the surrounding pixel area to determine whether or not to updated the value of the target pixel. In processing each surrounding pixel, a determination is made whether the pixel has a value of 1. If not, then the next surrounding pixel is processed. If so, then a determination is made which pixel element of a structuring element overlays the target pixel, and whether that SE pixel has a value of 1. If so, then the value of the target pixel is updated. If not, then the next pixel in the surrounding pixel area is processed. Once the target pixel has been updated a set number of times to a predetermined value (e.g.

Abstract: The present invention is directed to methods for analyzing electrical signals generated by biological tissues, such as muscles (e.g., cardiac or skeletal muscle) and tissue within the nervous system (e.g., neurons within the central and peripheral nervous systems). The tissue may be a patient's own, or it may have been transplanted into the patient from a donor organism or from a tissue or cell culture. The result of the analysis indicates the condition of the tissue, and results obtained over time can alert a patient or health care professional to changes in that condition.

Abstract: In a case where a padded orthogonally transformed block obtained by orthogonally transforming a padded image block of 8×8 pixels to which padding data has been added has been recorded as compressed image data, the padded orthogonally transformed block is subjected to an inverse orthogonal transformation to thereby restore the padded image block. Padding data contained in the restored padded image block is replaced with a portion obtained by copying a portion of the original image, thereby generating a modified image block. In a case where the true width of an edge pixel corresponding to an edge among the pixels forming the image block is less than 0.5, the pixel is obtained by adjusting the level of a pixel adjacent to the edge pixel in such a manner that it will have a level conforming to the width and level of the edge pixel.

Abstract: The present invention provides two-scale tone management of an input image. A method of providing two-scale tone management contains the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image. A system contains a memory and a processor, where the processor is configured by the memory to perform the steps of: separating the input image into a base layer and a detail layer; separating a model image into a base layer and a detail layer; analyzing the input image globally for global contrast; analyzing the input image locally for local contrast; and performing detail preservation of the input image.

Abstract: Methods, apparatuses and systems providing pixel correction values for a captured image, where the correction values are determined based on a piecewise-quadratic correction function in a first direction. The parameters for the piecewise-quadratic correction function in the first direction are calculated based on a plurality of piecewise-quadratic correction functions in a second direction. The correction values may be positional gain adjustment values.

Abstract: A dilation image is generated from an original digital image utilizing a processing image (b) and a target image (T), where each pixel in the target image is processed in parallel. The process entails, for each target pixel, i) determining coordinate values for the target pixel, ii) determining a surrounding pixel area for the target pixel, iii) and processing each pixel in the surrounding pixel area to determine whether or not to updated the value of the target pixel. In processing each surrounding pixel, a determination is made whether the pixel has a value of 1. If not, then the next surrounding pixel is processed. If so, then a determination is made which pixel element of the structuring element overlays the target pixel, and whether that pixel has a value of 1. If so, then the value of the target pixel is updated. If not, then the next pixel in the surrounding pixel area is processed. Once the target pixel has been updated one time, the processing of the remaining surrounding pixels is terminates.