Abstract: A developer tool is used to programmatically calculate the contrast between the text and background in a user interface. A luminosity ratio is automatically calculated by the tool by capturing an image of a user interface, archiving user interface elements that do not contain text, performing optical character recognition on the remaining user interface elements to find pixels on the text part of the user interface element and pixels on the background part of the user interface element, and finally calculating the luminosity ratio. Results including errors, warnings and luminosity ratio for one or more hotspots in the image can be returned. Results can be used to identify user interface elements that comply or fail to comply with visibility guidelines for contrast between user interface text and background.

Abstract: Provided is an image processing apparatus including an image input unit configured to receive at least one of a first left eye image and a first right eye image photographed from different viewpoints and applicable to stereoscopic vision, and a stereoscopic image generation processing unit configured to receive one of the first left eye image and the first right eye image and generate a second left eye image and a second right eye image applicable to the stereoscopic vision through an image conversion process. Among the first left eye image and the first right eye image input to the image input unit and the second left eye image and the second right eye image generated by the stereoscopic image generation processing unit, two images are output as images to be applied to the stereoscopic vision.

Abstract: A system and method are provided for segmenting an image. The method includes computing an image signature for an input image. One or more similar images are identified from a first set of images, based on the image signature of the input image and image signatures of images in the first set of images. The similar image or images are used to define a cropped region of the input image and a second image signature is computed, this time for the cropped region. One or more similar images are identified from a second set of images, based on the cropped image signature and the image signatures of images in the second set of images. The input image is segmented based on a segmentation map of at least one of the similar images identified in the second set of images.

Abstract: In an imaging device having an objective and a stage for holding a sample to be imaged, a method for autofocusing is presented. The method includes determining a measured focus value corresponding to at least a first of a plurality of logical image segments. Further, the method includes imaging the first logical image segment using the measured focus value. The method also includes determining a predicted focus value for a second of the plurality of logical image segments using the measured focus value and a stored focus variation parameter. In addition, the method includes imaging the second logical image segment using the predicted focus value.

Abstract: A system includes a content evaluation device is configured to receive reproduced media content and compare the reproduced media content to reference media content to determine a quality of the reproduced media content relative to the reference media content. The content evaluation device is configured to apply an entropy factor to the determined quality to model human perception of the reproduced media content. A method of determining the entropy factor includes converting the reference media content or the reproduced media content to a grayscale image, counting a number of unique luminance values in the grayscale image, determining the total number of possible luminance values, and defining the entropy factor to be the number of total pixels compared relative to the maximum number of pixels represented by any single luminance value multiplied by the number of possible luminance values.

Abstract: A method and apparatus for encoding an image is provided. An image coding unit, including a region that deviates from a boundary of a current picture, is divided to obtain a coding unit having a smaller size than the size of the image coding unit, and encoding is performed only in a region that does not deviate from the boundary of the current picture. A method and apparatus for decoding an image encoded by the method and apparatus for encoding an image is also provided.

Abstract: Disclosed is an image processor generating a three-dimensional image easily three-dimensionally viewed by, and hardly causing fatigue of, an observer, and easily adjusting a three-dimensional effect of an arbitrary portion in the three-dimensional image. The disparity correction portion 101 corrects a disparity of the input disparity image within a predetermined range and outputs a disparity image storing the corrected disparity to the disparity conversion portion 103. The disparity conversion portion 103 converts the disparity of the disparity image such that a disparity corresponding to the image of the main object determined by the main object determination portion 102 reaches a predetermined value, and outputs the disparity image obtained after the conversion to an image generation portion 104. The image generation portion 104 generates an image for the left eye and an image for the right eye based on the input disparity image and the input captured image, and outputs the images to a display apparatus.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: A document image processing system includes an extraction portion, an estimation portion, a calculation portion, a substitution portion, and a generation portion. The extraction portion extracts first and second document elements of an inputted document image and a preprint data. The estimation portion estimates first and second representative colors due to first and second document elements in a color space, respectively. The calculation portion calculates first and second planes to separate the color space into first and second sub-spaces which each includes each of the first and second representative colors, respectively. The substitution portion substitutes a color of a first pixel of the first document elements with the first representative color and a color of a second pixel of the second document elements with the second representative color. The generation portion subtracts each of the substituted first pixel from each of the substituted second pixel to generate a difference image.

Abstract: A method of fusing two images includes adjusting contrast of (a) a visual image and (b) a thermal image. Also included is modifying the adjusted contrast of the thermal image to form output brightness levels, by using a transformation curve, and then displaying both (a) the brightness levels of the thermal image and (b) the adjusted contrast of the visual image. Modifying the adjusted contrast of the thermal image includes using a V-curve as the transformation curve, in which the V-curve includes similar maximum output brightness levels at the coldest and hottest relative temperatures, respectively. The V-curve also includes a minimum output brightness level at a midpoint between the coldest and hottest relative temperatures. Furthermore, the method assigns different hues to the intensity values of the thermal image, ranging from coldest to hottest relative temperatures.

Abstract: A MMR system for publishing comprises a plurality of mobile devices, an MMR gateway, an MMR matching unit and an MMR publisher. The mobile devices send retrieval requests including image queries and other contextual information. The MMR gateway processes the retrieval request from the mobile devices and then generates an image query that is passed on to the MMR matching unit. The MMR matching unit receives an image query from the MMR gateway and sends it to one or more of the recognition units to identify a result including a document, the page and the location on the page. The MMR matching unit includes an image registration unit that receives new content from the MMR publisher and updates the index table of the MMR matching unit. A method for automatically registering images and other data with the MMR matching unit, a method for dynamic load balancing and a method for image-feature-based queue ordering are also included.

Abstract: In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.

Abstract: Disclosed are an apparatus and a method for extracting an edge to be used for extracting a feature point of an object in an image. The present invention proposes an image edge extracting apparatus and method that remove noise in an input image, calculate a gradient of an image in a noise-removed image, measure magnitude of the gradient, extract an edge having a maximum thickness value, and then calculate a threshold using a ratio of the extracted edge, and detect a final edge robust against noise based on the threshold.

Abstract: According to one embodiment, a binarized threshold value determination device includes, a creating unit, an average gray level value calculation unit, a parameter calculation unit, a correction unit, a selection unit, and a determination unit. The correction unit configures to correct the gray level value of the gray level histogram on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit. The selection unit configures to select a temporary threshold value from the gray level histogram of which the gray level value is corrected in the correction unit. The determination unit configures to determine a threshold value for binarizing each of the pixels by performing an inversion correction with respect to the temporary threshold value which is selected in the selection unit, on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit.

Abstract: Image forming apparatus (100) creates a toner pattern on intermediate transfer belt (11) as a preprocessing of gradation correction, and calculates a cycle at which density unevenness is largest. Then, a toner image for gradation correction is formed so as to cancel cyclic unevenness at a cycle at which the largest density unevenness occurs. As a result of this, it becomes possible to suppress the deterioration of density detection accuracy and perform a highly accurate gradation correction even if density unevenness of any cycle occurs.

Abstract: According to one embodiment, a display apparatus includes a light modulating unit, a light source unit, a luminance setting unit, a luminance distribution calculating unit, a signal level converting unit, and a control unit. The light source unit includes a basic light source and an extended light source illuminating each of divisional areas into which the display area tentatively divided. The basic light source emits white light with first emission peak wavelengths. The extended light source emits light with a second emission peak wavelength being different from the first emission peak wavelengths and being within a range between shortest and longest wavelengths of the first emission peak wavelengths. The control unit is configured to generate a control signal controlling the basic light source and the extended light source so as to provide a period in which the basic light source and the extended light source simultaneously emit light.

Abstract: A pathological diagnosis support apparatus into which a digital color image showing a stained tissue sample is input, the apparatus including: a display that performs a display operation; and an image processor that when the digital color image is input, extracts cell nucleus areas, cytoplasm areas and glandular cavity areas, respectively, based on luminance values of pixels of the digital color image, measures basic feature quantities representing features of shapes of the respective cell nucleus areas, cytoplasm areas and glandular cavity areas, which have been extracted, determines whether or not a particular kind of area that appears in a limited case according to the disease state of the tissue sample exists, for each of the cell nucleus areas, the cytoplasm areas and the glandular cavity areas based on the luminance values and the basic feature quantities, and measures structure feature quantities representing ways in which the cell nucleus areas are positioned, based on the basic feature quantities of

Abstract: Methods, systems, and apparatus, including computer program products, for ranking search results for queries. The method includes calculating a visual similarity score for one or more pairs of images in a plurality of images based on visual features of images in each of the one or more pairs; building a graph of images by linking each of one or more images in the plurality of images to one or more nearest neighbor images based on the visual similarity scores; associating a respective score with each of one or more images in the graph based on data indicative of user behavior relative to the image as a search result for a query; and determining a new score for each of one or more images in the graph based on the respective score of the image, and the respective scores of one or more nearest neighbors to the image.

Abstract: In one aspect, a computerized method to automatically detect buildings includes determining if each point of a set of filtered points is on a line by processing the set of filtered points in one pass including a) locating a first point of the set of filter points nearest to a second point of the set of filtered points, b) determining if the distance between the first point and the second point is greater than a distance threshold; c) determining if the first point and the second point have collinearity greater than a collinearity threshold; and d) designating the first point as an endpoint of a line that includes the second point if the distance between the first point and the second point is greater than the distance threshold and if the first point and the second point have collinearity greater than the collinearity threshold.

Abstract: There is provided an image processing apparatus which can suppress degradation of an image quality in a recording material save mode processing and obtain an effect of consumption amount reduction of recording material desired by a user at low costs. A recording material consumption amount at the time of applying first color conversion processing unit is predicted corresponding to inputted image data. The setting of a second color conversion processing is changed from a prediction value and a target value of the recording material consumption amount.

Abstract: There is provided a video processing apparatus comprising a motion vector detection unit for detecting data on the motions of objects by using at least two frames, an interpolation frame generation unit for generating interpolation frames in the horizontal/vertical and temporal directions in accordance with the motion vectors obtained by the motion vector detection unit, and an image feature detection unit for detecting the features of motions extended over the at least two frames, wherein the procedures, performed by the image feature detection unit, of generating interpolation frames in the horizontal/vertical and temporal directions are switched over in accordance with the features of motions.

Abstract: Systems and methods for optimizing bilateral filtering operation, by segmenting an image based on predetermined ranges of colors, and reiteratively blurring the image based on each color. In one aspect, colors associated with pixels that are located in such compartment are substantially similar. A blurring procedure(s) can subsequently be applied to each compartment, wherein pixels on the image that have more color similarity to a color of the compartment are weighted more, as compared to pixels that have less color similarity to the color of such compartment.

Abstract: An electronic apparatus and method obtains an original image, converts the original image into gray level to determine a gray level distribution of the original image, and defines a fuzzy region and a flat region and a fuzzy region according to the gray level distribution and a binary threshold. The electronic apparatus and method compares the pixel gray values in the fuzzy region with pixel gray values in the flat region to re-define the pixel gray values in the fuzzy region according to the comparison and a formula, and binarizes the original image to output an binarized image.

Abstract: Disclosed is a software routine which determines which photographs in a corpus are similar, groups the similar photographs, and which then determines which photographs within a group meet criteria of “better” photographs.

Abstract: An image processing apparatus includes an image acquiring unit that acquires an in-vivo image being a captured image of an inside of a body cavity; a feature-data calculating unit that calculates feature data corresponding to a pixel or an area in the in-vivo image; a body-tissue extracting unit that extracts, as a body tissue, a pixel or an area whose feature data corresponds to a predetermined threshold; a criterion creating unit that creates a criterion for detecting a detecting object based on the feature data of the body tissue; and a detecting unit that detects a body tissue corresponding to the criterion as the detecting object.

Abstract: The present invention is directed to an image processing apparatus wherein a discrimination whether an input image is a vivid color scene can be made to match a perception or an intention of a human. The image processing apparatus is characterized in acquiring image data, generating a hue distribution of the image data, setting a discrimination condition according to a degree of spreading of a color distribution in the hue distribution and discriminating whether the image of the image data is a vivid color scene under the discrimination condition, and outputting the discrimination result upon discrimination.

Abstract: An exemplary embodiment of the present invention includes a method of registering images. The method includes: for each image, determining an optimum intensity threshold set from a plurality of intensity threshold sets that maximizes a variance between classes of each set, segmenting each image using the corresponding determined optimum intensity threshold set, generating mutual information from a joint histogram of at least two of the segmented images, and registering the at least two images using the mutual information. The joint histogram may be generated using a geometry shader of a graphical processing unit.

Abstract: A signal processor which performs gradation conversion processing using a histogram of an image signal is provided with a feature calculating unit which calculates a feature of the image signal; an interval setting control unit which sets intervals of a pixel value in the histogram when a histogram of the image signal is obtained, according to the calculated feature, so as to obtain the histogram of the local region of the image signal; a gradation-conversion-characteristic calculating unit which calculates a gradation conversion characteristic, using the histogram obtained by using the intervals set at the interval setting control unit; and a gradation converting unit which performs gradation conversion to the image signal using the gradation conversion characteristic.

Abstract: A picture quality controlling device (10) that controls a picture quality for an image signal which is input including: a histogram generation unit (14) generating a histogram for at least one of brightness, chromaticity, color, and frequency information pieces from an image contained in the image signal; a threshold value comparing unit (17) comparing the histogram with a threshold value previously set for the histogram in order to determine whether control of the picture quality for the image signal is necessary; and a picture quality controlling unit (18) extracting a histogram pattern corresponding to the histogram from a reference table including plural predetermined histogram patterns, and controlling the picture quality based on a controlled parameter corresponding to the extracted histogram pattern if the control is determined to be necessary based on a result obtained by the threshold value comparing unit.

Abstract: An image processing device for a still image and for every frame of a moving image includes an uptake unit to take image data of a pixel unit from a captured image of a subject, a histogram generating unit to generate a histogram of the brightness after having disintegrated the data into a particular color space, and a control unit which reads out the image based on a predetermined reading pattern according to color, and sets the brightness of a pixel at a particular position of the reading pattern based on a mean histogram of a pixel removed (lifted) from the particular position in the pattern.

Abstract: A method for organizing an event timeline for a digital image collection, includes using a processor for detecting events in the digital image collection and each event's associated timespan; determining the detected events that are significant in the digital image collection; and organizing the event timeline so that the event timeline shows the significant events and a clustered representation of the other events, made available to the user at different time granularities. The organized event timeline is also used for selecting images for generating output.

Abstract: Method, apparatus, and computer program product for merging multiple maps for computer vision based tracking are disclosed. In one embodiment, a method of merging multiple maps for computer vision based tracking comprises receiving a plurality of maps of a scene in a venue from at least one mobile device, identifying multiple keyframes of the plurality of maps of the scene, and merging the multiple keyframes to generate a global map of the scene.

Abstract: A method for increasing the perceived quality of a digital image. The method includes receiving a first luminance value associated with a pixel located at a first pixel location in the digital image; generating a second luminance value based on a random number; blending the first luminance value and the second luminance value to generate an output luminance value; and displaying on a display device at the first pixel location or storing in a memory an output pixel having a brightness based on the output luminance value.

Abstract: A set of pixels of a background element is identified according to a mask that defines a shape of a foreground element. A color value for a pixel of the foreground element is determined. The determining includes ascertaining a value of a measure of brightness of one or more pixels of a set of pixels of the background element and calculating the color value for the pixel of the foreground element based on the value of the measure of brightness and a value of an adjustable contrast variable. The calculating the color value for the pixel of the foreground element preserves in the foreground element a color component of the one or more pixels of the set of pixels of the background element and increases contrast with the value of the measure of brightness according to the value of the adjustable contrast variable.

Abstract: Three-dimensional (3D) glasses, a method for driving 3D glasses, and a system for providing a 3D image are provided. The 3D glasses driving method includes detecting a first pattern corresponding to a left eye image and a second pattern corresponding to a right eye image from a 3D display apparatus, converting the first pattern into a first histogram and the second pattern into a second histogram, comparing the converted first and second histograms with first and second optimal histograms, and adjusting an opening or a closing of a left eye glasses part and a right eye glasses part of the 3D glasses based on the comparison.

Abstract: An image capture system comprises an image input and processing unit. The image input obtains image information which is then passed to the processing unit. The processing unit is coupled to the image input for determining image metrics on the image information. The processing unit initiates a capture sequence when the image metrics meet a predetermined condition. The capture sequence may store one or more images, or it may indicate that one or more images have been detected. In one embodiment, the image input is a CMOS or CCD sensor.

Abstract: There are provided a histogram stretching apparatus and a histogram stretching method. The histogram stretching apparatus includes: an image analyzing unit; a histogram generating unit; an extension level setting; and a histogram stretching unit, wherein the histogram generating unit adds a preset reference image level to the minimum image level to calculate the first image level and subtracts the preset reference image level from the maximum image level to calculate the second image level.

Abstract: A method for recognizing markers printed on a learning material, includes sampling an image of the learning material; grouping the sampled image of pixels into a first image group and a second image group based on a threshold; and calculating medians of the first image group and the second image group to update the threshold with a first average value of the calculated medians. Further, the method for recognizing markers printed on the learning material includes repeating the above until a difference between a previous threshold and an updated threshold is equal to or smaller than a reference value; binarizing an image captured by a camera based on the updated threshold; and detecting the markers based on the binary image.

Abstract: Machine vision based obstacle avoidance system is provided. The system utilizes a CCD camera to capture an image. A normalized image and dynamic masking is used in object detection.

Abstract: In accordance with one or more aspects of the image-based backgrounds for images, an image is analyzed in order to identify a color that represents the image. An enhanced background is generated based at least in part on the identified color, and both the image and the enhanced background are output on a screen. In addition, or alternatively, the identified color can be saved as being associated with the image in order to be used to generate an enhanced background for the image when the image is displayed.

Abstract: One or more portions of a cascaded face detection process, such as a process using a number of stages in which each stage includes classifiers having one or more associated features, can be parallelized. For instance, multiple pixels associated with an image can be evaluated in parallel, including simultaneously evaluating one or more features for each of the selected pixels. As a result, the number of operations required to perform the face detection processing can be reduced. Further, pre-processing can be performed to identify one or more image regions for which face detection process need not be performed. For instance, either or both of a skin-tone measure and a variance measure can be used to identify image regions in which a face is unlikely to be depicted.

Abstract: Aspects of the present invention are related to systems and methods for estimation of additive noise in an image or in a video sequence. An additive-noise estimate may be computed based on a first significant peak in a histogram of standard-deviation values of patches of an image-channel image associated with an input image.

Abstract: Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.

Abstract: A pattern recognition method, applicable to input information including a plurality of regions, includes obtaining a certainty at which each region of the input information includes a pattern, selecting one or more regions having a relatively high-level certainty among the plurality of regions, and performing pattern detection processing on the selected region or regions.

Abstract: A method for analyzing a random telegraph signal according to the present invention includes the steps of: performing band-pass filter processing with respect to signal data; subsequently calculating a histogram; subsequently performing threshold determination processing; further performing, based on a result of the threshold determination, binarization processing with respect to the filtered signal data; and further obtaining, based on a result of the binarization, coefficients ?.

Abstract: An unprocessed image is prepared which is shot against an arbitrary background, including materials to be trimmed. Color values are collected from a plurality of frames of this unprocessed image in a collection point including one or more pixels, whereby a color information set is obtained. From the color information set, it is judged which color shows the background and which color shows the materials to be trimmed, thereby determining an optimum background-side color value. This process is applied to an area where to extract the background from, thereby obtaining a background image into which the background is extracted. This makes it possible to obtain background images from unprocessed images that are shot in busy locations, without traffic controls or dedicated studios.

Abstract: Provided is an image processing apparatus which includes a histogram generating unit that generates a histogram representing an appearance frequency distribution of a pixel value of an input image, and a quantization table generating unit that generates a quantization table including table information used to perform transform of a bit depth of the pixel value of the input image and table information used to allocate an effective pixel in which an appearance frequency in the histogram generated by the histogram generating unit is not zero to an index value after bit depth transform so that effective pixels are allocated to index values as equally as possible.

Abstract: Method for detecting edge of fixed pattern includes receiving and analyzing a first image to obtain a first edge information. Second image and a corresponding second edge information are received, in which the second image includes an accumulation of image history information. According to the first edge information and the second edge information, a consistent number and an inconsistent number for pairs of pixels at the corresponding location of the first image and the second image are calculated, in which the consistent number represents how many pairs of pixels of which two compared pixels of each pair are both edge pixels, and the inconsistent number represents one of the two compared pixels is not the edge pixel. When the consistent number is greater than first predetermined value and meanwhile the inconsistent number is less than second predetermined value, first image and second image have a fixed pattern with fixed edge.

Abstract: An image processing program (GP) attains (S10) time lapse images, extracts (S20) a cell aggregation from each of the obtained images, and calculates (S50), for the entire region of the cell aggregation, the spatial distribution in pixel values and temporal change in pixel values of a small region in the extracted cell aggregation. The program determines (S70) the state of change of the cell aggregation toward becoming multi-layered, on the basis of the calculated spatial distribution and time lapse change of pixel values, and outputs (S80) the results of the determination. The image processing program (GP) is configured so as to determine and output, from time lapse images, the state of change of the cell aggregation toward becoming multi-layered.

Abstract: According to one embodiment, an image processing apparatus includes a level storage module, an instruction receiving module, a switching module, and a resolution increasing module. The level storage module stores a super-resolution level in association with a video mode that indicates definition to display a video signal. The super-resolution level indicates intensity of super-resolution conversion, in which from a video signal having first resolution, a video signal is obtained that has second resolution higher than the first resolution. The instruction receiving module receives an instruction specifying a video mode. The switching module switches a video mode to the specified video mode. The resolution increasing module performs the super-resolution conversion at a super-resolution level corresponding to the specified video mode.