Abstract: The disclosure describes adaptive filtering techniques to improve the quality of captured image information, such as video or still images. An image sensor captures image information and determines a plurality of parameter values based on a current exposure index and a current scaling factor of the image information. The adaptive spatial image filter includes both horizontal and vertical sharpening filters and configures, i.e., adapts, the horizontal sharpening filter and the vertical sharpening filter based on the plurality of parameter values determined by the image sensor. The adaptive spatial image filter applies the horizontal and vertical sharpening filters to at one channel of the image information to generate filtered image information.

Abstract: A method for more efficiently detecting faces in images is disclosed. The integral image of an image may be calculated. The integral image may be sub-sampled to generate one or more sub-sampled integral images. A plurality of classifiers may be applied in one or more stages to regions of each sub-sampled integral image, where the application of the classifiers may produce classification data. The classification data may be used to determine if a face is associated with any of the regions of each sub-sampled integral image. The face determination results may be used to modify the original image such that, when rendered, the image is displayed with a graphical object identifying the face in the image. Accordingly, face detection processing efficiency may be increased by reducing the number of integral image calculations and processing localized data through application of classifiers to sub-sampled integral images.

Abstract: Per one embodiment, a method is provided for refining a pose estimate of a model. The model is coarsely aligned with a run-time image, and it represents a 2D pattern. The pose estimate includes at least one pose estimate parameter. The model has a plurality of model features, and the run-time image has a plurality of run-time features. A given distance value is determined representing a given distance between a given one of the plurality of the model features mapped by a given pose estimate and a corresponding given run-time feature. A two-dimensional model description of the two-dimensional model pattern is provided. The two-dimensional model pattern is mapped using the given pose estimate to create a transformed version of the two-dimensional model pattern. The transformed version represents a non-linear movement of at least portions of the two-dimensional model pattern in a direction orthogonal to a plane of the two-dimensional model description.

Abstract: A method of image edge enhancement comprises: determining the edge trend for an image in accordance with the second order gradient value of a center pixel in different directions; performing interpolation operation with the center pixel; calculating absent color component of pixels; performing edge enhancement for the image in the interpolation module in accordance with original color component of the center pixel and the image edge trend based on the Bayer data. The image edge enhancement process takes into account the influence of the green component values of different pixels surrounding the center pixel, and adopts a noise-resistant, self-adaptive edge enhancement algorithm, to suppress noise on the image edge. Thus, the resulting image has a clear image edge. In addition, the fact that the process performs image edge enhancement in the interpolation module based on the Bayer data can significantly reduce the consumption of memory space.

Abstract: Methods and apparatus for reducing noise in images acquired with a scanning beam device are disclosed. A representative method may include scanning a beam of light over a surface in a scan with a variable velocity. Light backscattered from the surface may be detected at different points in time during the scan at a substantially constant rate. Reduced-noise representations of groups of the detected light that each correspond to a different position in an image of the surface may be generated. The reduced-noise representations may be generated for groups having multiple different sizes. The image of the surface may be generated by representing the different positions in the image with the reduced-noise representations of the corresponding groups. Other methods and apparatus are disclosed.

Abstract: A lane recognition apparatus for the vehicle includes: a lane mark detection image acquisition device which acquires an image divided into a first image region composed of pixels having pixel values supposed to be image portions of a lane mark defining the lane and a second image region composed of other pixels from a color image of a road; a clustering device which divides the first image region into subregions each composed of adjacent pixels; a color determination device which determines a color of the subregions; a lane recognition device which performs line component extraction for each group, considering the subregions determined to have the same color as a single group, and recognizes a line position of the lane defined by the lane mark from the extracted line component; and a vehicle equipment control device which controls equipment of a subject vehicle according to the lane recognition result.

Abstract: The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.

Abstract: A composition unit generates a composite image by compositing a frame image of interest and a processed image obtained by applying minimum value filtering processing to the frame image of interest. An LPF processor generates a low frequency component image by applying low-pass filtering processing to the composite image. A difference detector generates a difference image between the frame image of interest and the low frequency component image, and an adder generates a high frequency component image by adding the difference image to the frame image of interest. The composition unit executes composition processing using a minimum composite ratio a so that all pixel values which configure a region in the high frequency component image corresponding to a steep edge region in the composite image are equal to or larger than zero.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: OCR errors are identified and corrected through learning. An error probability estimator is trained using ground truths to learn error probability estimation. Multiple OCR engines process a text image, and convert it into texts. The error probability estimator compares the outcomes of the multiple OCR engines for mismatches, and determines an error probability for each of the mismatches. If the error probability of a mismatch exceeds an error probability threshold, a suspect is generated and grouped together with similar suspects in a cluster. A question for the cluster is generated and rendered to a human operator for answering. The answer from the human operator is then applied to all suspects in the cluster to correct OCR errors in the resulting text. The answer is also used to further train the error probability estimator.

Abstract: A method for locating an object in an image is provided for an object that exhibits, in at least one direction, foreground pixel runs and background pixel runs consistent with at least characteristic of the object. In one embodiment, the method includes the acts of defining a plurality of regions in the image, associating a metric with each of the regions, finding pixel runs in the image, and identifying at least one pixel run in one of the plurality of regions where the at least one pixel run is consistent with the at least one characteristic of the object. According to one embodiment, the method includes the acts of adjusting the metric associated with the region where the at least one pixel run is identified and identifying, from among the plurality of regions, a region where the object is located based on a metric determined for a plurality of regions. In various embodiments, the object includes a repetitive pattern such as those found in barcodes and character strings.

Abstract: An image processing apparatus includes a computation unit that determines an interpolation process starting point and gradient on the basis of a change point at which a difference between pixel values of adjacent pixels of an image signal is greater than zero and is less than or equal to a predetermined threshold value, wherein a position of a pixel scanned earlier or later than the change point by substantially one-half a continuous width of pixels having an identical grayscale value is set as the starting point and the gradient is determined based on a difference between pixel values before and after the change point and the continuous width, and a conversion unit that converts pixel values of the image signal on the basis of the determined starting point and gradient so that a grayscale change from the interpolation process starting point in the image signal corresponds to the gradient.

Abstract: A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component determines the degree of artifacts and whether to inform the user that the image is blurred by identifying at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image.

Abstract: An image processing apparatus includes a feature amount recognition unit that recognizes a feature amount of each of plural pieces of image data, and a processing reference extraction unit that extracts a processing reference for image correction to be made to the plural pieces of image data from the feature amount recognized by the feature amount recognition unit.

Abstract: Method and system embodiments of the present invention are directed to restoration of corrupted images using spatial-domain image-processing methods that can effectively employ spatial-domain information both in order to avoid various types of artifacts and distortions produced by frequency-domain image-processing operations and to achieve computational efficiency. The various method and system embodiments of the present invention employ a family of penalty functions to constrain iterative restoration images corrupted by both deterministic corruptions, such as motion-induced blur and blurring due to optical misalignment, incorrect positioning of optical components, and defective optical components as well as essentially non-deterministic noise corruption introduced at various stages of image acquisition, image encoding, image storage, and image transmission.

Abstract: A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component determines the degree of artefacts and whether to inform the user that the image is blurred by identifying at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image.

Abstract: A method (700) of determining an image value at a sample position of an output image, is disclosed. The method (700) comprises the steps of determining orientation of an isophote (e.g., 1010) passing through the output sample position and determining a period of intensity variation along the isophote (1010). The method (700) determines the image value at the sample position of the output image based on the period of intensity variation and outputs the determined image value at the sample position of the output image.

Abstract: The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.

Abstract: A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and de-convolves the main image using the PSF.

Abstract: A digital image acquisition system includes a portable apparatus for capturing digital images and a digital processing component for detecting, analyzing, invoking subsequent image captures and informing the photographer regarding motion blur, and for reducing camera motion blur in an image captured by the apparatus. The digital processing component operates by comparing the image with at least one other image, for example a preview image, of nominally the same scene taken outside the exposure period of the main image. In one embodiment the digital processing component identifies at least one feature in a single preview image which is relatively less blurred than the corresponding feature in the main image, calculates a point spread function (PSF) in respect of such feature, and initiates a subsequent capture if determined that the motion blur exceeds a certain threshold.