Abstract: The present disclosure relates generally digital watermarking and data hiding. One claim recites: receiving data representing imagery; and then, using one or more processors: transforming the data into a multi-channel color space; determining an impact of adding a color channel watermark signal image to a color direction of the received data; determining a color space direction for watermark detection; determining weighting factors based on a determined impact; weighting the color channel watermark signal with signal embedding weighting factors to yield a modified color channel watermark signal; embedding the modified color channel watermark signal in the data representing imagery with consideration of the color direction. Of course, other claims and combination are provided as well.

Abstract: A person extraction unit extracts a person from an image input into an image input unit. An attribute extraction unit obtains an attribute of the person extracted by the person extraction unit. A motion path creation unit creates a motion path of the person from positional information within the image of the person extracted by the person extraction unit. A measurement reference coordinate setting unit sets a measurement line (a first measurement line to a third measurement line) for the motion path corresponding to the person according to the attribute of the person extracted by the attribute extraction unit. A people number counting unit counts the number of people based on positional relation between the motion path of the person created by the motion path creation unit and the measurement line set within the image.

Abstract: Classification of image regions comprises: recursively partitioning an image into a tree of image regions having the image as a tree root and at least one image patch in each leaf image region of the tree, the tree having nodes defined by the image regions and edges defined by pairs of nodes connected by edges of the tree; assigning unary classification potentials to nodes of the tree; assigning pairwise classification potentials to edges of the tree; and labeling the image regions of the tree of image regions based on optimizing an objective function comprising an aggregation of the unary classification potentials and the pairwise classification potentials.

Abstract: An apparatus for image matching between multiview cameras includes a pattern model storing unit to store a pattern model, a matching processing unit to match the stored pattern model with a point cloud obtained by at least one depth camera, and a parameter obtaining unit to obtain a parameter for each of the at least one depth camera, based on a result of the matching.

Abstract: Substantial reduction of the radiation dose in computed tomography (CT) imaging is shown using a machine-learning dose-reduction technique. Techniques are provided that (1) enhance low-radiation dosage images, beyond just reducing noise, and (2) may be combined with other approaches, such as adaptive exposure techniques and iterative reconstruction, for radiation dose reduction.

Abstract: To achieve space correlation of pixel decomposition results and reduce noise problem caused by isolation, there is provided a decomposition apparatus and method for refining composition of mixed pixels in remote sensing images, including: a preprocessing step for temporarily determining the provability value of the composition ratio of the different land cover types of each pixel in the image, based on a received remote sensing image and spectral information, to obtain first material composition information; and a neighborhood correlation calculation step for analyzing the correlation between a main pixel and the neighboring areas by using the first material composition information of each of the pixels present in the neighboring areas within a predetermined range in which the pixels are adjacent to each other, and optimizing the first material composition information of the main pixel by the result of the correlation analysis, to obtain second material composition information.

Abstract: A method for facilitating comparison of image data from a given medical imaging protocol with archive image data, includes obtaining subject image data from a scan of a subject using the medical imaging protocol, obtaining archive image data differing from the subject image data in a given variable, determining a modifier usable to reduce the difference between the archive and subject image data, using the modifier to modify one of the subject image data and the archive image data to reduce the difference, and comparing the modified archive or subject image data with the subject or archive image data.

Abstract: According to one embodiment, an image processing apparatus includes a storage unit, a specifying unit, an extraction unit and a setting processing unit. The storage unit stores first X-ray image data in which a blood vessel of an object is not visually enhanced, and second X-ray image data in which the blood vessel is visually enhanced. The specifying unit specifies a catheter image included in the first fluoroscopic image by performing image processing of the first X-ray image data. The extraction unit extracts a blood vessel region included in the second fluoroscopic image by performing image processing of the second X-ray image data. The setting processing unit sets a region of interest based on the position of end point of the catheter.

Abstract: The present invention provides, among other things, methods of processing medical images for producing images with labeled anatomical features, including obtaining images containing labeled anatomical features, obtaining unlabelled images, comparing and selecting unlabelled images that most closely resemble labeled images, and propagating label data from labeled images to unlabelled images, thereby labeling corresponding anatomical features on unlabelled images. The present invention also provides systems for performing such methods.

Abstract: Providing feedback regarding potential detectability by a decoder of a watermark message produced by a watermarking encoder includes receiving a watermark detectability indication that does not directly correspond to detectability of the watermark message by the decoder but is only a proxy for detectability of the watermark message by the decoder, transforming the watermark detectability indication into an enhancement indication corresponding to a prescribed enhancement to a watermark signal in which the watermark message is embedded based on the watermark detectability indication, and transmitting the enhancement indication to enhance the watermark signal thereby enhancing detectability of the watermark message.

Abstract: A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.

Abstract: A method includes obtaining first volumetric image data, which is acquired at a first time, including a region of interest with a structural feature located at a first position. The method further includes obtaining second volumetric image data, which is acquired at a second different time, including the region of interest with the structural feature located at a second different position. The method further includes determining a registration transformation that registers the first and second volumetric image data such that the at least one structural feature in the first volumetric image data aligns with the at least one structural feature in the second volumetric image data. The registration transformation is based at least on a contour guided deformation registration. The method further includes generating a signal indicative of the registration transformation.

Abstract: The present disclosure provides a method of standardizing a digital radiographic medical image, including obtaining a digital radiographic image of a variable attenuation plate to provide at least one reference value of at least one image characteristic, such as optical density and contrast, and standardizing the digital radiographic medical image against the reference values. Also provided are methods for comparing two or more radiographic images including standardizing the images against at least one reference value of at least one image characteristic obtained from a digital radiographic image of a variable attenuation plate.

Abstract: An image processing apparatus includes a watermark adding section for adding a watermark for copy control to an image, where the watermark includes a dot pattern which becomes visible when copy, and a pattern adding section for adding a predetermined pattern to an appropriate position of an image, wherein the watermark adding section includes a watermark generating section for generating a watermark for copy control, where the watermark includes a dot pattern which becomes invisible when copy, a determining section for determining whether or not the pattern adding section adds the predetermined pattern to the image, when the generated watermark is added to the image, and a region setting section for setting a region where the predetermined pattern is to be appeared at a different portion where the dot pattern is added, when the determining section determines that the predetermined pattern is to be added to the image.

Abstract: A method of identifying the left-eye and the right-eye images of a stereoscopic pair, comprising the steps of comparing the images to locate an occluded region visible in only one of the images; detecting image edges; and identifying a right-eye image where image edges are aligned with a left hand edge of an occluded region and identifying a left-eye image where more image edges are aligned with a right hand edge of an occluded region.

Abstract: An image evaluation device includes a storage unit that stores sample image data that represent a virtual sample image simulating a sample image included in a sample printout that is recognized as a non-defective printout; a reading unit that reads an inspection object image included in an inspection object printout obtained by printing the sample image on a recording medium by a printing device using image data representing the sample image; an extraction unit that extracts a line defect including a linear pattern formed in a specific direction from the inspection object image represented by inspection object image data, based on a difference value between the sample image data and the inspection object image data; and an evaluation unit that evaluates a visibility of the line defect extracted by the extraction unit.

Abstract: Described here are systems and methods for iteratively reconstructing images from data acquired using a medical imaging system. The image reconstruction is decomposed into separate linear sub-problems that can be more efficiently solved. A statistical image reconstruction process is decomposed into a statistically-weighted algebraic reconstruction update sequence. After this step, the reconstructed image is denoised using a regularization function.

Abstract: An automatic method or the classification of the Degrees of Maturation (DM) for fired iron ore pellets, independent of human intervention, based on the digital acquisition of microscopy images of polished cross sections, and their processing, analysis and classification by a suitable software procedure.

Abstract: A image processing apparatus includes a selection unit configured to select either first color tone conversion processing or second color tone conversion processing having a ratio of red wavelength component set lower than either blue wavelength or green wavelength components with respect to the first color tone conversion processing, and a color tone conversion unit configured to convert a color of a fundus image by the selected color tone conversion processing.

Abstract: A method is disclosed for reconstructing image data of an examination object from measurement data, wherein the measurement data were captured previously during a relative rotational movement between a radiation source of a computed tomography system and the examination object. Filtered measurement data are calculated from the measurement data. First image data are calculated from the measurement data. Edge information is obtained from the first image data, wherein the edge information, depending on position, specifies strength and direction of edges within the first image data. New measurement data are calculated using the edge information by mixing the measurement data and the filtered measurement data and second image data are calculated from the new measurement data.