Abstract: A method for displaying images on a curved display surface is described herein. The method includes receiving a graphical object and distorting the graphical object at run-time such that an appearance of the graphical object on the curved display surface will be substantially similar regardless of a position of the graphical object on the curved display surface when viewed at a viewing axis that is approximately orthogonal to a plane that is tangential to the curved display surface at a center of the graphical object. The method may further include displaying the graphical object on the curved display surface.

Abstract: Methods for correcting distortions in an image including text, or an image of a page that includes text, are disclosed. The methods include identifying reliable and substantially straight lines from elements in the image. Vanishing points are determined from the lines. Parameters associated with a rectangle are determined. A coordinate conversion is performed.

Abstract: A method and an apparatus for air-borne or space-borne radiometric measurement of object points present in an object scene on the surface of a astronomical body. A corrected recording of image points in an image plane in which object points from the object scene are imaged on a detector, is carried out by determining recording errors of the detector caused by systematically occurring spatial and temporal changes in a scanning movement of the detector, with reference to a measurement line relative to a recording field, then generally an actuation function along the measurement line in the form of different trigger times in which measurements of the individual object points are initiated exactly at that time. Based on the triggering of the detector elements due to the actuation function synchronized measurements of all of the object points of every row of an object matrix are carrying out along the designated measurement line.

Abstract: An image processing apparatus configured to transmit image data to a printing unit for printing an image on a sheet, includes a first obtaining unit configured to obtain information representing displacement of an image in a sub-scanning direction, a second obtaining unit configured to obtain information representing displacement of an image to be printed on a sheet in a sub-scanning direction with respect to the sheet, a correction unit configured to, based on a plurality of correction amounts determined from information obtained by the first obtaining unit and information obtained by the second obtaining unit, at each of a plurality of positions in a main-scanning direction, perform correction for shifting the image data in the sub-scanning direction, and a transmission unit configured to transmit the corrected image data to the printing unit.

Abstract: The present invention relates to a method and a corresponding apparatus for detecting coding artifacts in an image. The proposed apparatus comprises an edge position detector that detects an edge position of an edge in said image, a border position detector that detects a border position of a border between a texture area and a flat area in said image, and an artifact position defining unit that defines the area between said edge position and said border position as artifact area potentially comprising coding artifacts.

Abstract: An image processing method includes a step of extracting an inner circle and an outer circle from an annular image, a step of obtaining the center for the extracted inner circle and the extracted outer circle respectively, and a step of moving a processing center serving as a reference in the polar coordinate conversion gradually between the center of the inner circle and the center of the outer circle to convert the circular image into a panoramic development image. According thereto, when an annular image of a side wall surface of a hole imaged by an omnidirectional imaging device (10) is converted into a panoramic development image according to a polar coordinate conversion, a distortion resulted from a position deviation occurred between an optical axis (L1) of the omnidirectional imaging device (10) and a central axis (L2) of the hole (H) can be corrected.

Abstract: A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.

Abstract: A method for determining noise levels in a subband of an image. The method comprises receiving the subband of the image, defining block regions in at least two space domains of the subband, for each defined block region, identifying first wavelet coefficients associated with coordinate values in the at least two space domains in the defined block region, computing a correlation matrix between identified wavelet coefficients to determine the correlation between first wavelet coefficients according to the at least one color domain, computing second wavelet coefficients, the computation of second wavelet coefficients being based on the correlation matrix and the first wavelet coefficients, computing at least one noise level, the noise level computation being based on at least one second wavelet coefficient and providing the at least one noise level.

Abstract: Various implementations address distortion and quality measurements. Certain implementations relate to distortions resulting in a freeze-with-skip and/or a freeze-without-skip. In one implementation, a pause term provides an indication of distortion associated with a pause arising from not displaying one or more consecutive pictures that are not to be displayed. A motion term provides an indication of distortion associated with a related change in motion. A combined indicator is based on an addition of the pause term and the motion term. In another particular implementation, a first indicator indicates distortion across one or more types of distortive effects that results from not displaying a first set of pictures. A second indicator indicates corresponding distortion with respect to a second set of pictures. The first indicator and the second indicator are combined in a non-linear manner.

Abstract: A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present.

Abstract: According to embodiments, an image reading apparatus and an image reading method are disclosed. The image reading method comprises receiving a signal of an image color of an image on an original, and based on the received signal, controlling an illuminating section comprising a red light source, a green light source and a blue light source so that one of the red, green and blue light sources is turned off, while the remaining light sources are turned on. The image reading method further comprises receiving, on an image sensor, light from the turned-on light sources that is reflected off of the original, and processing the light received by the image sensor to form a monochromatic image.

Abstract: There is provided an image processing apparatus that includes a move detecting unit that detects a move of a subject contained in a moving image from plural frame images, based on an image signal that indicates the moving image including the frame image and delay time information that indicates a delay time of an image pickup, and a correcting unit that corrects the image signal, based on the image signal and move information that indicates a move of a detected subject.

Abstract: A dust detection system, comprising a receiver, a dust extraction block, a memory and an image correction block, is provided. The receiver receives an image signal. The dust extraction block generates a dust image signal on the basis of the image signal. The memory stores an intrinsic-flaw image signal corresponding to an intrinsic-flaw image including sub-images of dust that the dust extraction block extracts in initializing. The image correction block generates a corrected dust-image signal on the basis of the intrinsic-flaw image signal and a normal dust-image signal. The normal dust-image signal corresponds to a normal dust image including sub-image of dust that the dust extraction block extracts after initializing. The corrected dust image is the normal dust image that sub-images of dust in the intrinsic-flaw image are deleted from.

Abstract: An encoder receives a sequence of images in extended or visual dynamic range (VDR). For each image, a dynamic range compression function and associated parameters are selected to convert the input image into a second image with a lower dynamic range. Using the input image and the second image, a residual image is computed. The input VDR image sequence is coded using a layered codec that uses the second image as a base layer and a residual image that is derived from the input and second images as one or more residual layers. Using the residual image, a false contour detection method (FCD) estimates the number of potential perceptually visible false contours in the decoded VDR image and iteratively adjusts the dynamic range compression parameters to prevent or reduce the number of false contours. Examples that use a uniform dynamic range compression function are also described.

Abstract: Multiple-exposure high dynamic range image processing may be performed that filters pixel values that are distorted by blooming from nearby saturated pixels. Pixel values that are near saturated pixels may be identified as pixels that may be affected by blooming. The contributions from those pixels may be minimized when producing a final image. Multiple-exposure images may be linearly combined to produce a final high dynamic range image. Pixel values that may be distorted by blooming may be given less weight in the linear combination.

Abstract: Methods, devices, and products provide for restricting access to mature content by individuals for whom access to the mature content is designated as inappropriate. A content filter receives a communication, determines that the communication includes an image, and extracts the image. The image is scanned for mature content. A content restrictor component restricts access by various classes of users to the mature content.

Abstract: A system includes a data storage configured to store a model human visual system, an input module configured to receive an original picture in a video sequence and to receive a reference picture, and a processor. The processor is configured to create a pixel map of the original picture using the model human visual system. A first layer is determined from the pixel map. A weighting map is determined from a motion compensated difference between the original picture and the reference picture. A processed picture is then determined from the original picture using the weighting map and the first layer.

Abstract: An image reading apparatus includes a transporting member that transports a document, a light source that irradiates the document at a reading position with light, a light receiving unit that receives light reflected at the reading position, a background member that is inclined with respect to the document at the reading position such that, upon reflecting the light emitted from the light source toward the light receiving unit when the document is not present at the reading position, a difference between an incident angle and a reflection angle thereon is less than a difference between an incident angle and a reflection angle on the document at the reading position, and an adjusting unit that adjusts a position or attitude of an acting member such that the light reflected from the background member is received with a greater intensity than light reflected from white paper at the reading position.

Abstract: An image enhancement system may generate a net signed fractional modulation value at each location in an image using a modulation strength map (MSM) in combination with a modulation kernel F(?). The system may scale an image value at each location using the net signed fractional modulation value at each location. Application of the algorithm may not result in systematic clipping of peri-edge locations to maximum or minimum brightness values, or any other form of systematic homogenization of values at peri-edge locations.

Abstract: The present invention discloses a method of image denoising and method of generating motion vector data structure thereof. The method comprises: providing an image sequential capturing module to capture and to receive the plurality of images; generating a global motion vector based on the plurality of images in accordance with a first algorithm; reducing each image as reduced images; dividing each of the first reduced images into a plurality of first areas and generating a first local motion vector based on each of the first areas in accordance with a second algorithm, and via the similar way for generating a second local motion vector; finally, obtaining motion vector data in the plurality of images according to the global motion vector, each of the first local motion vectors and each of the second local motion vectors.

Abstract: Provided is an image processing apparatus that reduces over recovery of image data by image recovery processing. An image processing unit selects an image recovery filter corresponding to an imaging condition and performs image recovery processing on captured image data using the image recovery filter. Further, the image processing unit limits a change amount of a pixel signal value of the image data by the image recovery processing based on a change amount limit value determined according to characteristics of a gamma correction processing that is applied after the image recovery processing.

Abstract: Methods for correcting distortions in an image including text, or an image of a page that includes text, are disclosed. The methods include identifying reliable and substantially straight lines from elements in the image. Vanishing points are determined from the lines. Parameters associated with a rectangle are determined. A coordinate conversion is performed.

Abstract: Apparatuses and methods for reading a set of images to merge together into a high dynamic range (HDR) output image are described. Images have a respective HDR weight and a respective ghost-free weight. Images are merged together using the weighted average of the set of input images using the ghost-free weight. A difference image is determined based on a difference between each pixel within a HDR output image and each respective pixel within a reference image used to create the HDR output image.

Abstract: The capture and alignment of multiple 3D scenes is disclosed. Three dimensional capture device data from different locations is received thereby allowing for different perspectives of 3D scenes. An algorithm uses the data to determine potential alignments between different 3D scenes via coordinate transformations. Potential alignments are evaluated for quality and subsequently aligned subject to the existence of sufficiently high relative or absolute quality. A global alignment of all or most of the input 3D scenes into a single coordinate frame may be achieved. The presentation of areas around a particular hole or holes takes place thereby allowing the user to capture the requisite 3D scene containing areas within the hole or holes as well as part of the surrounding area using, for example, the 3D capture device. The new 3D captured scene is aligned with existing 3D scenes and/or 3D composite scenes.

Abstract: A method for enhancing a radiographic image. The method includes obtaining image data for the radiographic image, generating conditioned image data by increasing differences between neighboring portions of at least a relatively uniform area of the radiographic image, generating an enhanced image by applying contrast limited adaptive histogram equalization to the conditioned image data, applying interpolation to the enhanced image, and displaying, storing, or transmitting the enhanced image.

Abstract: High quality upscaling and denoising are required in mobile imaging devices that do not contain high quality lenses. Such is also required in order to scale up standard-definition video content for display in high-definition television screens. The disclosed method uses contextual information obtained during upscaling and/or denoising of frames. Relevant correspondences between patches within a frame and between frames, are detected, managed and exploited. The correspondence information is simultaneously used and updated while video frames are being processed. Two approaches may be used: 1. keeping, searching for and updating a database of useful patches, by adding frequently visible similar patches, aggregating high-frequency, low-noise information associated with the similar patches, and removing less-observed patches; 2.

Abstract: Provided are a method and a system for the correction of an optical satellite image, the method including: a first step in which a satellite image judgment unit inputs and receives a plurality of satellite images divided according to spectral information and judges whether or not some area is a missing satellite image; a second step in which when the satellite image judgment unit judges that the some areas is the missing satellite images, a first interpolation unit inputs and receives the plurality of satellite images and carries out one-dimensional interpolation for each satellite image; a third step in which a second interpolation unit carries out two-dimensional interpolation for each satellite image in which the one-dimensional interpolation is carried out; and a fourth step in which a satellite image composing unit composes a corrected satellite image by gathering each satellite image in which the two-dimensional interpolation is carried out.

Abstract: A method and apparatus for image processing a lens-distorted image (e.g., a fisheye image) is provided. The method includes partitioning coordinate points in a selected output image into tiles. The output image is an undistorted rendition of a subset of the lens-distorted image. Coordinate points on a border of the tiles in the output image are selected. For each tile, coordinate points in the lens-distorted image corresponding to each selected coordinate point in the output image are calculated. In addition, for each tile, a bounding box on the lens-distorted image is selected. The bounding box includes the calculated coordinates in the lens-distorted image. The bounding boxes are expanded so that they encompass all coordinate points in the lens-distorted image that map to all coordinate points in their respective corresponding tiles. Output pixel values are generated for each tile from pixel values in their corresponding expanded bounding boxes.

Abstract: A system and method identify and display random noise in three dimensional (3-D) seismic data utilizing a 3-D operator to reduce the effects of seismic structure on noise identification. The 3-D operator is derived using statements of required performance in 3-D. The 3-D operator is applied on a pixel-by-pixel basis to each of the pixels in the 3-D post-stacked data to display images in a 3-D display or to output an estimate of noise that is substantially independent of the image structure. The resulting display is generated in colors to indicate noise amplitude to facilitate location of noisy regions in the original display.

Abstract: An information processing apparatus includes: an inputting section adapted to input an image; a detection section adapted to detect a portion of an image pickup object from within the inputted image; a noticed region setting block adapted to set a noticed region from the detected portion; a restriction region setting block adapted to set a restriction region from the detected portion; and an extraction section adapted to extract feature values of the noticed region restricted by the restriction region.

Abstract: A method and apparatus for performing pull frame interpolation are provided. Pull frame interpolation may include identifying a plurality of input video frames, generating a plurality of motion vectors indicating motion from a first frame of the plurality of input video frames to a second frame of the plurality of input video frames, identifying an interpolation point between the first frame and the second frame, generating a plurality of candidate interpolation motion vectors indicating motion from the first frame to the interpolation point and from the second frame to the interpolation point based on the plurality of motion vectors, selecting an interpolation motion vector from the plurality of candidate interpolation motion vectors based on a metric, and generating an interpolated frame at the interpolation point based on the selected interpolation motion vector.

Abstract: A method and apparatus for providing image processing. For one embodiment of the invention, a digital image is acquired. One or more relatively large candidate red eye defect regions are detected in at least a portion of the image. Face detection is applied to at least a portion of the image to eliminate non-face regions and one or more relatively small candidate red eye defect regions are identified in at least a portion of the image not including the eliminated non-face regions.

Abstract: A noise reduction section includes: a correlation detector configured to detect correlations between corresponding pixels between first and second image signals which are obtained from an identical image, and output degrees of correlation based on the detected correlations; an addition ratio determining section configured to determine addition ratios of the corresponding pixels between the first and second image signals based on the degrees of correlation, where the addition ratios are used in weighted addition averaging processes; and a weighted addition averaging section configured to perform, based on the addition ratios, the weighted addition averaging processes on the corresponding pixels to generate an output image signal, wherein when each of the degrees of correlation is relatively high, the addition ratio determining section provides a relatively high proportion of the pixel of the second image signal in the addition ratio.

Abstract: The present invention relates to an apparatus and method of correcting a chromatic aberration of an image, and in particular, to an apparatus and method of correcting a chromatic aberration of an image that can correct a general chromatic aberration of an edge or an extreme chromatic aberration, such as a purple fringe, in an image. An apparatus for correcting a chromatic aberration of an image according to an embodiment of the present invention includes an edge detection unit detecting an edge of an input image, a level calculation unit calculating a chromatic aberration level of the detected edge, and a correction unit correcting the edge using different weighted values according to the calculated chromatic aberration level.

Abstract: A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.

Abstract: Imagery from two or more users' different smartphones is streamed to a cloud processor, enabling creation of 3D model information about a scene being imaged. From this model, arbitrary views and streams can be synthesized. In one arrangement, a user of such a system is at a sports arena, and her view of the sporting event is blocked when another spectator rises to his feet in front of her. Nonetheless, the imagery presented on her headworn display continues uninterrupted—the blocked imagery from that viewpoint being seamlessly re-created based on imagery contributed by other system users in the arena. A great variety of other features and arrangements are also detailed.

Abstract: There is provided an image processing device including an image acquisition unit configured to acquire a first image obtained using a motion vector indicating motion between frames and a second image used as a reference image to obtain the motion vector; and an image generator configured to generate a third image by blending the first image with the second image by a predetermined blending ratio.

Abstract: A system, method, and computer program product are provided for reducing noise in an image using depth-based on sweeping over image samples. In use, each noisy pixel of an image having noise is identified. Additionally, for each noisy pixel, at least one sample included in each of a plurality of neighboring pixels to the noisy pixel is identified. Furthermore, the samples are swept over at least partially in a depth-based order to identify a value for the noisy pixel that reduces the noise.

Abstract: Methods for reducing dimensionality of hyperspectral image data having a number of spatial pixels, each associated with a number of spectral dimensions, include receiving sets of coefficients associated with each pixel of the hyperspectral image data, a set of basis vectors utilized to generate the sets of coefficients, and either a maximum error value or a maximum data size. The methods also include calculating, using a processor, a first set of errors for each pixel associated with the set of basis vectors, and one or more additional sets of errors for each pixel associated with one or more subsets of the set of basis vectors. Utilizing such errors calculations, an optimum size of the set of basis vectors may be ascertained, allowing for either a minimum amount of error within the maximum data size, or a minimum data size within the maximum error value.

Abstract: An image processing apparatus includes an obtainment section to obtain a face image; an area specifying section to specify a set of a plurality of corresponding areas in the face image obtained by the obtainment section; and a correction section to generate a face image in which one area of the plurality of corresponding areas of the face image is used as a reference to correct another area.

Abstract: A method and apparatus for carrying out noise reduction in data regarding parameter values including the steps of making a series of measurements of parameter values at times separated by predetermined time intervals, forming a plurality of successive measurements into an array of measurements, performing n successive wavelet transforms on the array of measurements to produce an array of coefficients, comparing the values of the array of coefficients to a threshold value and, selectively changing the values of the coefficients based on their relationship to the threshold, to produce an array of filtered coefficients, and performing n successive inverse wavelet transforms on the array of filtered coefficients to produce an array of filtered measurements.

Abstract: Techniques for image sensor pixel correction are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine an intensity value for a pixel in an image sensor pixel array, determine a pixel intensity deviation for the pixel comprising a difference between the intensity value for the pixel and a composite intensity value for a pixel neighborhood of the pixel, determine a pixel correction threshold for the pixel, and when the pixel intensity deviation exceeds the pixel correction threshold, determine a corrected intensity value for the pixel. Other embodiments are described and claimed.

Abstract: An apparatus for correcting image distortion of a rear imaging device including analyzing, by a processor, a characteristic of a imaging device installed in a rear of a vehicle; setting, by the processor, a plurality of tilting angles for a plurality of photographed areas of a virtual imaging device corresponding to the rear imaging device from a characteristic value of the imaging device; generating, by the processor, a correction model by applying the plurality of tilting angles for the plurality of photographed areas of the virtual imaging device; tilting, by the processor, the virtual imaging device based on the correction model; performing, by the processor, a view conversion on an image photographed through the rear imaging device according to the plurality of set tilting angles for the plurality of photographed areas of the virtual imaging device to generate a corrected image; and outputting, by the processor the corrected image.

Abstract: A method for removing defective pixels using a signal processing scheme with a Bayer pattern, by determining an output value of the inter-channel according to whether or not a difference between a center pixel and an average of neighboring pixels, which have the same color as that of the center pixel, is greater than or equal to a threshold value; and using values of neighboring pixels nearest to a center pixel as an input, obtaining an output value of the cross-channel by finding a median value among a median value of vertical and horizontal lines including the center pixel, a median value of diagonal lines including the center pixel, and a value of the center pixel. Then, a defective pixel is removed, through the use of the output value of the inter-channel, the output value of the cross-channel, and the value of the center pixel.

Abstract: The invention concerns image processing that includes the estimation of the optical depths of points in image data in order to enhance the image data. In particular but not limited to, from the optical depth noise present in the image due to aerosol in the scene, such as fog or haze, can be reduced. The invention concerns determining a first cost for each point independently based on a determined metric (60) and then a second cost based on an expected correlation in neighboring points (70). The two costs are then optimized (80) to determine an estimated optical depth for each point (80) that is then used to reduce the effect of aerosol in the image (84). Applications of the invention include, but is not limited to, surveillance systems so that objects in the scene of the image can be better identified once the image data has been enhanced to reduce the estimated noise. Aspects of the invention include a method, software, computer apparatus and a field programmable gate array.

Abstract: An image processing method for boundary resolution enhancement is disclosed. Firstly, an image is transferred into an image layer. Noise of the image layer is removed by a bilateral filter and crisp edges are retained at the same time. Moreover, the image layer is interpolated by an interpolation filter for resolution enhancement. The image processing method of the present invention can lower the image blur degree substantially, enhance the image resolution and be widely implemented in all sorts of image/video processing hardware devices.

Abstract: A method for applying filters to digital images with minimal amplification of image noise, comprising filtering the digital image with an EPDR edge-preserving detail-reducing filter, determining a matrix from the filtered image as a result of one or more structure adaptive functions, and modifying the digital image using the filter, adjusted by the matrix values, to produce an enhanced digital image. The order of processing may be inverted, by first determining the matrix and then filtering the matrix with the edge-preserving detail-reducing filter.

Abstract: A Method for inspecting flat objects, especially wafers, with an object surface, comprises the steps of: scanning a digital image with a plurality of image points of said object surface with color- or grey values for each of said image points; detecting defects on said object surface by comparing said scanned digital image to a digital reference image; defining and selecting corresponding portions in said scanned digital image and in the digital reference image; determining a representative color- or grey value for each of said selected portions; calculating a compare value from said representative color- or grey value of said scanned digital image of a portion and a representative color- or grey value of said digital reference image of the same portion; and correcting each image point of said scanned digital image with a correction value determined from said compare value of step (e).

Abstract: This disclosure describes techniques and apparatuses for reducing color fringes. In some embodiments, inaccuracies from color-insensitive sensors are corrected. Inaccuracies can be corrected in part by shortening a first illumination made temporally proximate a second illumination. By so doing, a center of the image captured for a first illumination is moved toward the image captured for a second illumination, which reduces a color fringe.

Abstract: Methods and apparatus for artifact detection are provided by the present principles that measure the level of artifacts, such as those caused by temporal concealment of errors due to packet loss, for conditional error concealment. The principles are based on an assumption that sharp edges of video are rarely aligned with macroblock boundaries so video discontinuities are checked throughout the video. The scheme solves the problem of error propagation when temporal concealment of artifacts is used and the high false alarm rates of prior methods. Artifact detection methods are provided for regions of an image, an entire image, or for a video sequence, with error concealment provided conditionally based on the artifact levels.