Abstract: A method includes reducing structured artifacts in 3D volumetric image data, which is generated with reconstructed projection data produced by an imaging system (100), by processing the 3D volumetric image data along a z-axis (108) direction. The 3D volumetric image data includes structured artifacts which have high-frequency components in the z-axis direction, and lower-frequency compounds within the x-y plane.

Abstract: Stereoscopic image capture is provided. A blur value expected for multiple pixels in left and right images is predicted. The blur value is predicted based on designated capture settings. A disparity value expected for multiple pixels in the left and right images is predicted. The disparity value is predicted based on the designated capture settings. Stressed pixels are identified by comparing the predicted disparity value to a lower bound of disparity value determined from the predicted blur value using a predetermined model. A pixel with predicted disparity value less than the lower bound is identified as a stressed pixel. The predicted disparity is adjusted by modifying the designated capture settings to reduce the number of stressed pixels, or an alert to the presence of stressed pixels is given to the user.

Abstract: An example image processor provides a distortion-corrected image including a masking area having improved appearance. The image processor includes: a masking area retaining section that retains a masking area set for an image having distortion; a masking execution section that performs masking processing for the image having distortion using the masking area retained in the masking area retaining section; a distortion correction section that corrects the image having distortion that is subjected to the masking processing using a correction parameter for correcting distortion of the image having distortion; and a masking area shaping section that shapes the masking area of the corrected image into a predetermined shape.

Abstract: An MR system compensates for patient movement by generating a magnetic field for acquiring, first data representing individual frequency components of a segment of a k-space storage array during a first time period and second data representing individual frequency components of the segment of the k-space storage array during a subsequent second time period. The first and second data comprise individual frequency components of different images of a portion of the anatomy of a patient. The system uses the first and second data in calculating a measure representing degree of patient related motion occurring between acquisition of the first data and second data and generates an image by excluding frequency components of the first data and second data in response to the calculated measure exceeding the predetermined threshold value.

Abstract: An image processing apparatus includes a determination unit, a search unit, a weight assignment unit and a filling unit. The determination unit determines whether a hole is surrounded by the foreground in a disparity map or a depth map. The search unit searches for multiple relative backgrounds along multiple directions when the hole is surrounded by the foreground. The weight assignment unit respectively assigns weights to the relative backgrounds. The filling unit selects an extremum from the weights, and fills the hole according to the relative background corresponding to the extremum.

Abstract: An image processing apparatus and method for restoring an image which is expected to be when there is no fog from a foggy image, the image processing method including: generating a pixel depth image of the foggy image by estimating a plurality of pixel depths of a plurality of pixels, respectively, included in the foggy image based on a channel difference between at least two of red (R), green (G), and blue (B) channels of the foggy image; processing the pixel depth image; obtaining an optical model parameter with respect to the foggy image; and restoring an image, which is expected to be when the foggy image does not include the fog, by using the processed pixel depth image and the optical model parameter.

Abstract: An image processing apparatus includes a frequency component generation unit configured to generate a plurality of frequency component images based on an original image, a coefficient acquisition unit configured to acquire a gain coefficient for applying gain correction to at least one of the plurality of frequency component images, a detection unit configured to detect edge information of at least one of the plurality of frequency component images based on the gain coefficient, again adjustment unit configured to adjust again of at least one of the plurality of frequency component images based on the gain coefficient and the edge information, and a processed image generation unit configured to generate a processed image based on at least one of the plurality of frequency component images with the gain adjusted by the gain adjustment unit.

Abstract: A method of identifying a distracting element in an image (e.g., 1100), is disclosed. A visual attention map (e.g., 1120) is determined for the image (1100), the visual attention map (1120) representing one or more regions of the image, at least one of the regions corresponding to at least a portion of a subject of the image. A salient region map (e.g., 1110) is determined for the image (1100), the salient region map comprising a distribution of visual attraction values defining one or more further regions of the image (1100), the one or more further regions being categorized as salient. An intersection between the visual attention map (1120) and the salient region map (1110) is determined to identify a distracting element in the image (1100). The distracting element corresponds to at least one of the salient regions.

Abstract: In an image processing apparatus for carrying out a plurality of correction processes on an input image, a multi-dimensional histogram of the input image is calculated, and a feature amount of the input image for which a specific correction process has been carried out is analyzed based on the multi-dimensional histogram. Then, based on the result of the analysis, correction parameters to be used for another correction process are calculated.

Abstract: A method and system for orientation compensation of a mobile device within an environment includes providing a plurality of reference markers having straight edges and having a defined, regular orientation with respect to the environment. Information about the orientation of the reference markers is supplied to a mobile device operating within the environment. An orientation sensor disposed within the mobile device estimates an orientation of the mobile device. An image of one reference marker is captured, and at least one edge of that reference marker is located. The estimated orientation is compensated by correcting for the reference marker orientation and aligning the corrected estimated orientation to the at least one edge of the reference marker that is closest to being parallel to the corrected estimated orientation.

Abstract: An image forming apparatus includes an exposing section, a pulse generating section, a frequency storing section, an emission control section, a smoothing section, and a driving-current generating section. The pulse generating section generates a periodic pulse signal indicating light amount of light beam emitted by a light source of the exposing section. The frequency storing section stores in advance a plurality of frequencies of the pulse signal. The emission control section selects, in the rendering of each main scanning line, any one of the plurality of frequencies and instructs the pulse generating section to generate the pulse signal having the selected frequency. The smoothing section smoothes the pulse signal generated by the pulse generating section according to the instruction of the emission control section and generates analog signal. The driving-current generating section generates driving current for the light source of the exposing section on the basis of the analog signal.

Abstract: Contamination of a reading window is detected between documents by a contamination detection section when a plurality of sheets of documents are transferred and a transferred document is read through a reading window, transfer of the document is stopped by a stopping section based on the detection result, and a corresponding purport is displayed on a display section.

Abstract: A method is disclosed. The method includes generating a Continuous Tone Image (CTI) with all pixel values same as a first gray level, generating an initial Half Tone Image (HTI) with all pixel values equal to minimum absorptance level and computing a change in pixel error for a first pixel. The change in pixel error is computed by identifying a first pixel indicated in a valid pixel map, toggling the first pixel with all the possible output states and swapping the first pixel with all neighbor pixels only if the stacking constraint is satisfied, updating the HTI with the maximum error decrease operation and continue to next pixel location till the end criteria is met.

Abstract: An aspect of the present invention provides a method of segmenting an input image into a plurality of segments. The method comprises the steps of: deriving an image representative of boundary strength of each of a plurality of pixels in the input image; adding a random noise pattern to at least a portion of the derived image; determining a plurality of local minima in the derived image with the random noise pattern added, each of the plurality of local minima comprising a point with a lowest measure of boundary strength within a pre-defined region in the derived image; and associating each of the plurality of pixels in the input image with one of the determined local minima to segment the image based on a geodesic distance transform of the measure between the determined local minima and the pixels.

Abstract: A document illumination device includes a light-conducting member in which is formed a base surface that extends along a lengthwise direction, an irradiation surface that extends along the lengthwise direction and is tilted in the widthwise direction relative to the base surface, and a side surface that extends in the lengthwise direction and connects the base surface to the irradiation surface; a scattering member that is provided opposing the base surface and the side surface and that scatters light emitted from the base surface and the side surface; and a light source provided opposing a lengthwise direction-end surface of the light-conducting member.

Abstract: A camera system captures an image in a source aspect ratio and applies a transformation to the input image to scale and warp the image to generate an output image having a target aspect ratio different than the source aspect ratio. The output image has the same field of view as the input image, maintains image resolution, and limits distortion to levels that do not substantially affect the viewing experience. In one embodiment, the output image is non-linearly warped relative to the input image such that a distortion in the output image relative to the input image is greater in a corner region of the output image than a center region of the output image.

Abstract: A method of determining an actual phase offset of a fringe pattern in a captured image. A captured image, having a phase modulated fringe pattern, is one of a set of images captured with varying introduced phase offset and forms an intermediate demodulation image from the captured image. The intermediate demodulation image defines amplitude and complex phase parameters of the phase modulated fringe pattern. The captured image is transformed by a mask to produce a processed captured image having reduced effects of phase distortion. The mask is estimated from a function of at least one of the amplitude and complex phase parameters defined by the intermediate demodulation image. The method determines a Fourier transform of the processed captured image, and determines at least one phase offset of the fringe pattern in the processed captured image using the mask to identify interaction of peaks in the Fourier transform.

Abstract: An image processing method applied to an image processing device, the image processing method includes following steps: receiving an original wide-angle image, pre-processing the original wide-angle image and capturing at least a region of interesting (ROI); executing anti-distorting processing on the ROI to generate a local correction image; and executing image processing on the local correction image. In the image processing method, parts of ROI of the original wide-angle image is captured, anti-distorting processing and image processing are executed, which significantly improves the image processing efficiency and reduces the time consumption instead of executing anti-distorting processing on the ROI directly.

Abstract: A system suitable for reducing static or slow moving echoes from acoustic boundaries in a system such as pipe walls, blood vessels, tissue structures so that an image from flowing or time varying media such as water, oil, blood etc may be imaged more clearly, the system including an analogue-to-digital converter for digitizing a received analogue signal from a detector, means for digitally separating static or slow moving components of the digital signal, a digital-to-analogue converter to provide an analogue version of the separated static or slow moving components of the signal, and a subtractor to subtract the analogue version of the static or the slow moving components of the signal from an analogue signal received from a detector to produce an analogue signal corresponding to the remaining flow components of the signal.

Abstract: An improved method for correcting for noise in the digital domain is disclosed. Reference pixel fast-varying components are extracted using a Hilbert-Huang Transform Real-Time Data Processing System (HHT-DPS-RT). The reference pixels are non-photon-detecting pixels in a sensor array. The fast-varying components of the reference pixels are processed in addition to the average over the remaining trend, facilitating additional noise correction for active pixels.

Abstract: Method, system, device and computer program product for projective correction of an image containing at least one text portion that is distorted by perspective. The method includes a step of image binarization involving binarizing said image. The method includes connected component analysis. Pixel blobs are detected in said at least one text portion of said binarized image in connected component analysis. The method includes horizontal vanishing point determination, including estimating text baselines by means of eigenpoints of said pixel blobs and determining a horizontal vanishing point of said at least one text portion by means of said text baselines. The method also includes vertical vanishing point determination. A vertical vanishing point is determined for said at least one text portion on the basis of vertical features thereof. The method includes projective correction. Perspective in said image is corrected on the basis of said horizontal and vertical vanishing points.

Abstract: An image processing device includes an image obtaining unit, a displacement obtaining unit, and a displacement correcting unit. The image obtaining unit obtains data of Z-stack images including a plurality of layer images which are obtained by capturing, with a microscope device, images of an analyte at different Z-direction positions. The displacement obtaining unit obtains information regarding a displacement in an XY plane in at least one layer image among the plurality of layer images. The displacement correcting unit corrects the displacement in the at least one layer image in accordance with the information regarding the displacement.

Abstract: In an illumination device that radiates light to an object to be irradiated placed on a predetermined placement surface, a first light guide body has a first incident surface located at an end thereof in a first direction, which receives light along the first direction, and a first exit surface extending along the first direction, which emits the light in a second direction crossing the first direction, thereby radiating light to the object to be irradiated, from the second direction, and a second light guide body has a second incident surface located at an end thereof in the first direction, which receives light along the first direction, and a second exit surface extending along the first direction, which emits the light in a third direction crossing the first direction and the second direction, thereby radiating light to the object to be irradiated, from the third direction.

Abstract: Methods and composition for denoising digital camera images are provided herein. The method is based on directly measuring the local statistical structure of natural images in a large training set that has been corrupted with noise mimicking digital camera noise. The measured statistics are conditional means of the ground truth pixel value given a local context of input pixels. Each conditional mean is the Bayes optimal (minimum mean squared error) estimate given the specific local context. The conditional means are measured and applied recursively (e.g., the second conditional mean is measured after denoising with the first conditional mean). Each local context vector consists of only three variables, and hence the conditional means can be measured directly without prior assumptions about the underlying probability distributions, and they can be stored in fixed lookup tables.

Abstract: A method of digital watermark decoding in which watermark signal components, which are embedded with different levels of redundancy in a host content signal, are selectively accumulated. In the process of decoding embedded data, components embedded with more redundancy are weighted appropriately to improve recovery of embedded data. Components embedded with less redundancy may be more reliably recovered as well by leveraging knowledge of related components encoded more robustly. Missing, weak or error prone components may be recovered based on relationship with more reliable components, and in particular, based on relationship with components embedded with higher redundancy and decoded with higher reliability. These techniques are exploited through error correction coding schemes, including convolutional codes, and explicit and implicit weighted repetition coding schemes.

Abstract: A transmission device includes an image capturing part that captures a subject and generates a plurality of temporally successive frame images, an analyzer that analyzes a size of a motion of the subject by use of at least two or more of the frame images, a viewing condition receiver that receives viewing conditions from a reception device, and a network bandwidth measurement part that measures a congestion degree of a network. The transmission device further includes a controller that controls a data volume of the plurality of frame images based on the size of the motion of the subject, the viewing conditions, and the congestion degree of the network, to determine a predetermined parameter for encoding, an encoder that encodes the plurality of frame images based on the predetermined parameter, and a transmitter that transmits the plurality of encoded frame images.

Abstract: A high-resolution image obtained by an image sensing operation by an image sensing unit, and a low-resolution image having a resolution lower than the high-resolution image are acquired. An object which satisfies a predetermined condition is detected from the low-resolution image, and an object recognition processing for a region corresponding to the object in the high-resolution image is performed, thus correcting geometric distortions of the region.

Abstract: Techniques and tools are described for performing perspective correction using a reflection. Reflective properties of a surface being photographed can be used to determine a rotation of the device taking the photograph relative to the surface. Light sourced or produced by the device can be used to create a reflection spot in the picture. A position of the reflection spot within the picture is calculated and used to determine the rotation. The rotation can be used for performing perspective correction on the picture, or on another picture taken by the device.

Abstract: The present invention relates to systems and methods for reducing noise in image data. Preferred embodiments relate to methods for analyzing two-photon in vivo imaging of biological systems. With neuronal population imaging with subcellular resolution, this modality offers an approach for gaining a fundamental understanding of brain anatomy and physiology. Analysis of calcium imaging data requires denoising, that is separating the signal from complex physiological noise. To analyze two-photon brain imaging data, for example, harmonic regression plus colored noise model and an efficient cyclic descent algorithm for parameter estimation. This approach reliably separates stimulus-evoked fluorescence response from background activity and noise, assesses goodness of fit, and estimates confidence intervals and signal-to-noise ratio.

Abstract: In some embodiments, a method of processing a video sequence may include receiving an input video sequence having an input video sequence resolution, aligning images from the input video sequence, reducing noise in the aligned images, and producing an output video sequence from the reduced noise images, wherein the output video sequence has the same resolution as the input video sequence resolution. Other embodiments are disclosed and claimed.

Abstract: The invention relates to a system (100) for extracting an object (Ob) from a source image, said object being delineated by a contour (C), the system (100) comprising a gradient unit (110) for computing the source image gradient field, based on the source image, a smoothing unit (120) for smoothing the source image gradient field, and an integration unit (130) for calculating an object image by integrating the smoothed source image gradient field, thereby extracting the object (Ob) from the source image. At each point of the source image, the smoothing is defined by a 2-dimensional convolution kernel which is a product of a first 1-dimensional convolution kernel in the first direction substantially parallel to the contour (C), and a second 1-dimensional convolution kernel in the second direction substantially normal to the contour (C).

Abstract: A three-dimensional topographical data precision improving device (10) removing noise that occurs in water regions of three-dimensional topographical data comprises a water region specifying unit (13) specifying the range of any one water region; a feature extraction unit (14) extracting feature values within any one water region that describe altitude distribution pattern of each local region in the three-dimensional topographical data; a segmentation unit (15) segmenting the whole range into candidate water regions and non-water regions by comparing the feature values of the specified water region with those of each point in the three-dimensional topographical data; a water region extraction unit (16) extracting water regions from the candidate water regions; and a plane creation unit (17) creating a corrected plane of each water region using the altitudes of the surrounding non-water regions and replacing the water region extracted by the water region extraction unit (16) with the corrected plane.

Abstract: Motion picture scenes to be colorized/depth enhanced (2D?3D) are broken into separate elements, backgrounds/sets or motion/onscreen-action. Background and motion elements are combined into composite frame which becomes a visual reference database that includes data for all frame offsets used later for the computer controlled application of masks within a sequence of frames. Masks are applied to subsequent frames of motion objects based on various differentiating image processing methods, including automated mask fitting/reshaping. Colors and/or depths are automatically applied to masks throughout a scene from the composite background, translucent, motion objects.

Abstract: A method for correcting a defect pixel includes extracting a pixel value of a central pixel, and pixel values of each of a plurality of neighboring pixels around the central pixel in an image sensor by using a color filter; calculating reference levels by multiplying each the pixel value of the plurality of neighboring pixels by a weight value; calculating a total number of cases where the pixel value of the central pixel is larger or smaller than the reference level as a first comparison value or second comparison value, respectively; determining the central pixel is a defect pixel where the first or second comparison value is larger than a first or second control register value, by comparing the comparison values with the control register values, respectively; and correcting the central pixel determined as the defect pixel.

Abstract: A method for reconstructing picture data of a cyclically-moving object from measurement data is disclosed, with the measurement data being detected beforehand for a relative rotational movement between a radiation source of a computed tomography system and the object under examination during a plurality of movement cycles of the object under examination. In at least one embodiment, a first picture and a second picture are determined from the measurement data, with measurement data of different movement cycles being combined for reconstruction of the second picture into a measurement dataset to be used as the basis for the picture reconstruction. Difference information is computed by comparing the first picture with the second picture. Using the difference information, a result picture is computed from the first picture and the second picture.

Abstract: There are provided an image processing apparatus, line detection method and a computer-readable, non-transitory medium that can precisely detect boundaries of a document from a read image. The image processing apparatus includes an edge pixel extractor for extracting edge pixels from an input image which includes a document, a grouping unit for forming mutually adjoining edge pixels in the extracted edge pixels into a group, and an approximated line detector for detecting a line which connects edge pixels which are positioned at the two ends in a horizontal direction and vertical direction among edge pixels which are included in the group as a line which approximates an end of the document.

Abstract: Image processing apparatus includes: interpolation process image acquisition means for acquiring an interpolation process image of prescribed size which includes an interpolation point of an inputted image; Fourier transform means for subjecting the interpolation process image which is acquired with the interpolation process image acquisition means to Fourier transform; phase change means for changing, a phase of each value of the transformed interpolation process image which has been subjected to Fourier transform by the Fourier transform means, such that the interpolation point migrates to a desired nearby integer coordinate position; inverse Fourier transform means for subjecting the interpolation process image whose phase has been changed by the phase change means, to inverse Fourier transform; interpolation value determination means for adopting an interpolation point, a value of a pixel at the integer coordinate position, from the transformed interpolation process image subjected to inverse Fourier tran

Abstract: Methods and apparatus to providing image fusion using a number of image processing approaches. In one embodiment, a single image is processed and image fusion is performed. In exemplary embodiments of the invention, image enhancement, denoising, edge detection, etc., can be provided.

Abstract: An apparatus and a method which enable effective removal of flicker are provided. Under an illumination environment such as a fluorescent lamp with luminance variation, flicker that occurs in images shot with an X-Y address scanning type imaging device such as a CMOS is effectively removed or reduced. The integral value of the row-by-row signal intensity of an image to be corrected from which to remove flicker is calculated, and this integral value is used to detect flicker components contained in individual rows of an image frame. The detected flicker components represent data according to the actual flicker waveform of the illumination, and a correction process is executed using flicker correction coefficients formed by an anti-phase pattern of the flicker components. Effective flicker removal becomes possible through this process.

Abstract: A method is disclosed for fully automated segmentation of human vertebral body images in a CT (computerized tomography) study with no user interaction and no phantoms, which has resiliency to anatomical abnormalities, and protocol and scanner variations. The method was developed to enable automated detection of osteoporosis in CT studies performed for other clinical reasons. Testing with 1,044 abdominal CTs from multiple sites, resulted in detection of 96.3% of the vertebral bodies and 1% false positives. Of the detected vertebral bodies, 83.3% were segmented adequately for sagittal plane quantitative evaluation of vertebral fractures indicative of osteoporosis. Improved results were observed when selecting the best sagittal plane of 3 for each vertebra, yielding a segmentation success rate of 85.4%. The method is preferably implemented in software as a building block in a system for automated osteoporosis detection.

Abstract: Systems and methods for block noise detection and filtering are disclosed. One embodiment includes, computing difference magnitudes in pixel values for adjacent pixels in the image. The difference magnitudes can include horizontal difference magnitudes for horizontally adjacent pixels and vertical difference magnitudes for vertically adjacent pixels. One embodiment further includes using normalized sums of the difference magnitudes to determine a set of noise characteristics of the block noise and a set of image characteristics of the image and configuring inputs to the block noise filter using the set of noise and image characteristics.

Abstract: Methods, systems and apparatuses are disclosed for approximating vertical and horizontal correction values in a pixel value correction calculation. Multiple vertical and/or horizontal correction curves are used and may be employed for one or more color channels of the imager. The use of multiple correction curves allows for a more accurate approximation of the correction curves for image pixels.

Abstract: The present embodiments relate to a device and a method for data postprocessing of K-space data acquired using a magnetic resonance tomography device. Each part of a K-space matrix is generated with one recording using a magnetic resonance tomography device in a plurality of recordings with the aid of a plurality of transmitting transmit channels of the magnetic resonance tomography device using excitation signals of one amplitude and phase. A field generated in total by the plurality of transmitting transmit channels is determined through addition of the spatial distribution of field distribution datasets representing a field generated by at least one transmit channel of the plurality of channels. A spatially dependent phase correction of the data is performed for data acquired in one recording using phases resulting from the added field distribution datasets.

Abstract: A method, system, and program product are provided for removing artifacts from an EM field generator from a rotational 3D scan.

Abstract: Many of the detailed technologies are useful in enabling a smart phone to respond to a user's environment, e.g., so it can serve as an intuitive hearing and seeing device. A few of the detailed arrangements involve using radio base station SDR equipment (e.g., at a cell tower) to perform image recognition operations for phones; forecasting service needs from remote processors, and reserving such capacity in advance of use; delegating a remote execution task to a service provider chosen in a competitive process, such as by a reverse auction; using nearby processors, e.g.

Abstract: Error diffusion processing is performed for each pixel in each region of an image divided into a plurality of regions, by scanning in both the first and second directions different to each other. A diffusion coefficient set for diffusing, to the pixel of interest to be processed, a quantization error generated upon quantizing a pixel near the pixel of interest is set in accordance with the position of the pixel of interest in scanning in the first direction in the region of interest. The pixel of interest to which an error has been diffused from a pixel position referring to the set diffusion coefficient set is quantized.

Abstract: A method for compression and/or decompression of bio-medical images such as DNA sequencing images is provided. The method comprises regeneration of a complete image using multiple distribution functions generated on the fly. The compression ratio achieved is in the order of 10 to 20 times, and is near lossless with respect to the clinically relevant information; which makes it well suited for these DNA sequencing images.

Abstract: An image denoising method includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; pre-denoising the comparison block of each pixel in the current search block; comparing the comparison block of the pre-denoised neighborhood pixel and the comparison block of the pre-denoised current pixel to obtain a similarity between each neighborhood pixel and the current pixel in the current search block; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the similarity between each neighborhood pixel and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting to obtain a reconstruction value of the current pixel.

Abstract: The invention relates to a method of determining the distortions in the projection system of a TEM, and a method of correcting for these aberrations. The aberrations are determined by collecting a large number of images of a sample, the sample slightly displaced between each acquisition of an image. On the images sub-fields (303, 304-i) showing identical parts of the sample are compared. These sub-fields (303, 304-i) will show small differences, corresponding to differential aberrations. In this way the differential aberrations in a large number of points can determined, after which the aberrations for each point can be determined by integration. By now correcting the position of each detected pixel in an image to be displayed, the displayed image has much reduced aberrations. An advantage of the method according to the invention is that no highly accurate steps of the sample are needed, nor is a sample with known geometry needed.

Abstract: A 3D ultrasound image from a memory is compared with a 3D diagnostic image from a memory by a localizer and registration unit which determines a baseline transform which registers the 3D diagnostic and ultrasound volume images. The target region continues to be examined by an ultrasound scanner which generates a series of real-time 2D or 3D ultrasound or other lower resolution images. The localizer and registration unit compares one or a group of the 2D ultrasound images with the 3D ultrasound image to determine a motion correction transform. An image adjustment processor or program (operates on the 3D diagnostic volume image with the baseline transform and the motion correction transform, to generate a motion corrected image that is displayed on an appropriate display.