Abstract: A method of generating a susceptibility map of an object utilizes a regularizing inverse function, oversampling k-space, removing external phase noise and rapid phase change effects, accounting for the known geometry of the object, and using modified SWI phase data to generate reasonable susceptibility maps and digital images therefrom, such as SWI images. The inventors refers to the inventive methods set forth herein as Susceptibility Weighted Imaging and Mapping (SWIM).

Abstract: A method for reducing blurring in a blurred image (14) of a scene (12) includes the steps of: (i) creating an edge mask (362) from the blurred image (14); (ii) extending the edge mask (362; (iii) forming an initial array (e.g. extending the blurred image (360); and (iv) performing Lucy-Richardson iterations, with masking. With the deblurring method disclosed herein, the reconstructed adjusted image (16) (i) does not have (or has significantly less) ringing artifacts around the edges (22) of the captured object(s) (20C), and (ii) does not have (or has significantly less) ringing artifacts around border (24). As a result thereof, the adjusted image (16) is more attractive and more accurately represents the scene (12).

Abstract: A method (100) and an apparatus (200) are disclosed for registering an input image and an atlas. The atlas is warped (130) using non-rigid registration. In particular, boundary displacements of structures in the atlas are calculated (132) which register those structures with equivalent structures in the input image. The boundaries of structures in the atlas are then warped (133) according to their respective boundary displacements using topology preserving propagation of boundary points of the structures.

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) transform (e.g., using a discrete cosine transform). The cyclic noise components (peaks) are removed from the transformed image which is then inverse transformed back into the spatial domain using an inverse 2-D transform to obtain a corrected image. An automated method enables the cyclic peaks to be identified and removed from the borehole image via downhole processing.

Abstract: An image data processing method for creating a clear blur-compensated image; the method calculates the motion data between a reference image and a target image, calculates difference in pixel value between the reference image and the target image for every block matched by the motion data, calculates, based on the difference in pixel value, the blending ratio between the reference image and the target image for each block, and creates a synthesized image by synthesizing the reference image and the target image according to the motion data and the blending ratio. An image processing apparatus implementing the image data processing method noted above is also disclosed.

Abstract: Embodiments generally relate to creating groups in a social network system. In one embodiment, a method includes recognizing at least one person in the at least one photo associated with a target user in a social network system, where the recognizing is based at least in part on social relevance. The method also includes creating a group in the social network system, where the group includes the at least one person recognized in the at least one photo. The method also includes associating the group with the target user.

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: An improved iterative reconstruction method to reconstruct a first image includes generating an imaging beam, receiving said imaging beam on a detector array, generating projection data based on said imaging beams received by said detector array, providing said projection data to an image reconstructor, enlarging one of a plurality of voxels and a plurality of detectors of the provided projection data, reconstructing portions of the first image with the plurality of enlarged voxels or detectors, and iteratively reconstructing the portions of the first image to create a reconstructed 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: An image quality adjustment capability measurement method includes the steps of: using an instructor image serving as a target for the image qualities of an evaluation image and a correlation function between image quality characteristic differences and image quality adjustment capability values, the instructor image and the correlation function being obtained in advance; inputting a corrected image obtained after the image qualities of the evaluation image is adjusted; calculating the image quality characteristic difference between the input corrected image and the instructor image; and calculating the image quality adjustment capability value from the correlation function between the image quality characteristic differences and the image quality adjustment capability values, which is obtained in advance, and the calculated image quality characteristic difference.

Abstract: There is described an apparatus and method for recovering a contour of a bone from an input image of the bone with its surrounding tissues. The method comprises receiving the input image; applying in parallel at least three image processing functions to the input image to obtain at least three resulting images indicative of respective features of the input image, at least one of the at least three image processing functions pertaining to a spatial domain, and at least another one of the at least three image processing functions pertaining to a frequency domain; combining the at least three resulting images together to form a compounded image, the compounded image identifying at least two regions based on the respective features; identifying the contour of the bone based on the at least two regions of the compounded image; and outputting an output image for display, the output image comprising the contour identified.

Abstract: A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

Abstract: A key identification system is provided. The key identification system comprises a sensing device configured to extract bitting information from a master key, and a logic configured to analyze the image. The sensing device may be configured to capture information about the bittings of the master key, such as an image of the bittings. The logic analyzes information about the bittings of the master key and compares it with bitting characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank.

Abstract: The image processing apparatus of the present invention is characterized by including an obtaining unit configured to obtain image data and a detection result of a main subject in the image data; a detecting unit configured to apply main subject detecting processing to the image data obtained by the obtaining unit; a coincidence determining unit configured to determine whether a detection result of the main subject obtained by the obtaining unit and a detection result of the main subject detected by the detecting unit coincide with each other; and a correction amount determining unit configured to determine an amount of correction to be applied to the image data in accordance with a determination result obtained by the coincidence determining unit. Image correction processing is performed in a determined correction processing manner.

Abstract: A system and method for projection number and radiation dose reduction in tomographic imaging that creates a three dimensional cross sectional image of an object by the reconstruction of its projections. Images of a superior quality can be obtained with a fewer number projections than seen with conventional methods by reconstruction of projections that have been pre-processed and preferably placed in the Fourier domain with a Fractional Fourier Transform (FrFT) or forward Pseudo-polar Fast Fourier transform (PPFFT). The projections are iteratively refined through formulation of a constrained optimization problem with constraints in object space and Fourier space preferably solved with a gradient descent algorithm incorporating a Bregman iterative regularization or a continuative regularization.

Abstract: An image processing method includes the steps of: reading an original placed on an original platen; executing a filtering process to extract a contour on the read image; extracting a contour group in broken lines from the image having the filtering process executed; forming one contour from the contour group in broken lines; determining an area of the original from the contours obtained in the filtering execution step and the forming step; and extracting an image of the determined original area from the read image.

Abstract: A method to stitch images includes the steps of: determining a template window in the first digital image and a target window in the second digital image and extracting selected features from the selected windows and a template in the template window; extracting selected features from within the template at a first resolution; matching the selected features in the target window; extracting selected features from within the template and target window at a second resolution higher than the first resolution; matching the selected features in the target window; performing a first evaluation of the second estimate of the stitching location; blending the second estimate of the stitching location; performing an evaluation of the stitching location; stitching the first digital image and a second digital image using the stitching location to create a stitched image; and saving the stitched image to memory. A system to perform the method is also described.

Abstract: A method and system for improving picture quality of images by providing a series of frames of a given region of interest.

Abstract: A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character.

Abstract: In general, the present disclosure describes various techniques for programmable, pattern-based unpacking and packing of data channel information, including still image, video, and audio component data. One example device comprises a programmable processor having a plurality of processing pipelines. The processor is configured to receive pattern information that specifies a pattern for a plurality of input data components, the pattern information comprising a plurality of pattern elements that are each associated with one or more of the input data components, and each input data component being selected from a component group consisting of a still image data component, an audio data component, and a video data component. For example, the input data components may comprise pixel data components, such as color channels. The processor is further configured to provide each input data component to a selected processing pipeline of the processor in accordance with the pattern information.