Abstract: An average image producing means 52 produces an average image from all or some of a plurality of images captured at the same location. A noise extracting means 53 extracts a noise pixel on the basis of the result of a comparison between the pixel values of the pixels in the captured images and the pixel values of the pixels at the same position in the average image. An interpolating means 54 interpolates the pixel value of the noise pixel included in the captured images using the pixel values of other pixels to produce a noise-eliminated image.

Abstract: An information processing apparatus may include a memory storing instructions and at least one processor configured to process the instructions to receive an input image. The input image includes either a first image or a provisional image created by iteratively image processing the first image. The instructions further provide for the processor to calculate a local variation of a focused pixel in the input image based on a difference in pixel value between the focused pixel and a surrounding pixel of the focused pixel, to calculate a filter coefficient for suppressing a variation between neighboring pixels in the input image based on the local variation, to create a degraded image by degrading the input image, to calculate a reconfiguration error between the input image and the degraded image, and to create the provisional image based on the filter coefficient and the reconfiguration error.

Abstract: An image processing device includes a line gain calculator, a line gain corrector, and a gain adjustor. The line gain calculator calculates an absolute value of Gradient and an absolute value of Laplacian of the input image, and calculates a line gain based on the absolute value of the Gradient and the absolute value of the Laplacian. The line gain corrector calculates a blend coefficient based on the input image and the line gain and to correct the line gain based on the blend coefficient. The gain adjuster processes the input image based on the corrected line gain to generate an output image.

Abstract: A computer-implemented method is provided for reducing artifacts in an MRI image as a result of radiation induced current in collector coils of an MRI apparatus. The method comprises the following steps. Selecting a plurality of pixels in a k-space image prior to generation of the MRI image. Analyzing each of the plurality of selected pixels to determine whether a pixel intensity is greater than a predefined global threshold. For each pixel having pixel intensity greater than the predefined global threshold, determining whether the pixel lies within a signal region of the k-space image or outside of the signal region of the k-space image. For each pixel that lies outside of the signal region, modifying the pixel intensity to be similar to a background pixel intensity, thereby creating a modified k-space image. Generating the MRI image based on the modified k-space image. A non-transitory computer readable medium and a radiation therapy system configured to implement the method are also provided.

Abstract: A spectroscopic analyzing apparatus includes a light source unit that applies light to an imaging object, an imaging unit that acquires an image by imaging the light reflected by the imaging object, pixel detection part for detecting abnormal pixels having ratios in respective pixels of the image equal to or more than one and normal pixels having the ratios less than one, and light quantity correction part for calculating light quantity correction values based on the light quantities of the normal pixels in a pixel area containing the abnormal pixels of the image and replaces the light quantities of the abnormal pixels by the light quantity correction values, wherein the light quantity correction part calculates the light quantity correction values by polynomial approximation based on the light quantities of the normal pixels located within a predetermined distance range.

Abstract: A unit pixel includes a first sub-pixel that emits a first color light, a second sub-pixel that emits a second color light, a third sub-pixel that emits a third color light, and a fourth sub-pixel that emits a fourth color light. Here, the first sub-pixel, the second sub-pixel, the third sub-pixel, and the fourth sub-pixel are arranged in a rhombus structure.

Abstract: As to enhance the rendering while minimizing needed computation time, the method comprises the steps of determining noise information, said noise information being representative of noise level estimated for at least a part of said image; the noise information being determined for the achromatic component of the image; sampling said part of the image according to said noise information; and rendering said at least a part of the image according to said sampling.

Abstract: Pixels of an array capture values for an input image. The captured values correspond to pixel center points of the pixels that captured the values. Additional values about the input image may be further computed from the captured values. These additional values may correspond to additional center points, which can be different from any of the pixel center points. An output image may be constructed from the captured values plus the additional values. These values may be stored together and/or displayed together as the output image. Embodiments are applicable to images such as from multi-layer sensors. Since the output image can be created from a higher total number of values than those captured by the available number of pixels, such image processing can be called super-resolution, and can be applied to image processing within imaging devices, for still pictures, video and motion pictures, and so on.

Abstract: A method for converting an image resolution converts a low resolution image into a high resolution image, generates a second high resolution image by compensating an image quality of the high resolution image, and selectively compensating, by using information about a specific region included in the low resolution image, a region which is included in the second high resolution image and corresponds to the specific region.

Abstract: Techniques for extracting keys from digital images data are presented. In an embodiment, a method comprises receiving a particular image; using a computer, determining a plurality of characteristics specific to contents of the particular image; using the computer, generating, based at least in part on the plurality of characteristics, a plurality of coefficients; generating a plurality of values by applying a particular function to the plurality of coefficients; selecting, from the plurality of values, a subset of values, each value in the subset satisfying a particular threshold requirement; based, at least in part on the subset of values, generating one or more keys, each of which uniquely encodes data included in the subset of values; generating and storing metadata that associates each of the one or more keys with the particular image.

Abstract: An information processing apparatus includes: an image data acquisition section configured to acquire image data; an output target image specifying section configured to specify, from the image data, an output target image to be output; an image size calculating section configured to calculate an image size of the output target image based on a magnitude of a region where the output target image exists in the acquired image data; an actual size acquisition section configured to acquire, from the acquired image data, actual size information indicating an actual size of the output target image; a ratio calculating section configured to calculate a ratio of the calculated image size to the actual size indicated by the actual size information; an image processing section configured to enlarge or reduce the output target image according to the calculated ratio; and an output section configured to output the enlarged or reduced output target image.

Abstract: A computer-implemented method and apparatus are described for automatically selecting a region in a blurred image for blur kernel estimation. The method may include accessing a blurred image and defining a size for each of a plurality of regions in the image. Thereafter, metrics for at least two of the plurality of regions are determined, wherein the metrics are based on a number of edge orientations within each region. A region is selected from the plurality of regions based on the determined metrics, and a blur kernel for deblurring the blurred image is then estimated for the selected region. The blurred image is then deblurred using the blur kernel.

Abstract: An apparatus includes an input circuit configured to receive a sequence of pictures and a processing circuit. The processing circuit may be configured to (i) determine respective picture brightness values for each of a reference picture and a target picture selected from the sequence of pictures, (ii) remap image data of the reference picture based upon the respective picture brightness values, and (iii) perform temporal filtering between the reference picture and the target picture utilizing the remapped image data.

Abstract: An apparatus for coding video data according to certain aspects includes a memory and a processor in communication with the memory. The memory stores video block information. The video block information includes reference layer block information. The processor determines, based on a parameter of the video block information, a transform function that may be used to code the video block information. The processor may encode or decode the video block information. The transform function may be an alternative transform when the parameter is a predetermined value and a primary transform when the parameter is not the predetermined value. The alternative transform includes one of: a discrete-sine-transform (DST), a Type-I DST, a Type-III DST, a Type-IV DST, a Type-VII DST, a discrete-cosine-transform (DCT), a DCT of different types, and a Karhunen-Loeve transform (KLT).

Abstract: A method of processing an image includes: offsetting aliasing by analyzing frequency characteristics of at least one color channel and a NIR channel, of a MSFA pattern image; generating a high resolution base image; and offsetting an artifact from the high resolution base image by weighting the high resolution base image and a blur image, based on a pixel difference value between the blur image and the high resolution base image.

Abstract: There is provided a computer-implemented method for solving inverse imaging problems to compensate for distortions in an image. The method comprises: minimizing a cost objective function containing a data fitting term and one or more image prior terms to each of the plurality of channels, the one or more image prior terms comprising cross-channel information for a plurality of channels derived from the image.

Abstract: A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value.

Abstract: A method of large-radius edge-preserving low-pass filtering is performed on a digital signal having data points. The method includes computing a weighted average of a signal layer at vertices spaced a distance apart such that an amount of the vertices is less than an amount of the data points and producing, for each of the data points, a large-radius edge-preserving low-pass filtered signal based on the weighted average of the signal layer at vertices neighboring the data point.

Abstract: The image projection apparatus of the present invention includes a light source that outputs coherent light; a phase modulator that performs phase modulation on the light output from the light source to create a Fourier transform image; an amplitude modulator that performs amplitude modulation on the Fourier transform image in accordance with an image signal; a projection optical system that projects the light that has been amplitude modulated, and a controller that divides the image represented by the image signal into a plurality of divided images, determines the target luminance value of each of the areas of the Fourier transform image that is divided corresponding to the division of the image, based on the image signal, and outputs phase data indicating the amount of phase modulation so as to make the luminance value of each area of the Fourier transform image acquire the target luminance value of the associated area.

Abstract: According to one embodiment, a person image processing apparatus includes: an input processor configured to input a plurality of pieces of image data captured at different times by an image capture module; an extraction module configured to extract a person display area showing a same person from each of the pieces of image data captured at the different times; a feature detector configured to detect a feature point showing a feature of a part of a person from the person display area extracted from each of the pieces of image data and acquire reliability of the part shown in the feature point; and a correction module configured to, when correcting the person display area subjected to input processing by the input processor, perform weighting based on the reliability of the feature point included in the person display area.

Abstract: Methods and systems are provided to reduce noise in thermal images. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device. The image frame may be processed to determine a plurality of column correction terms, each associated with a corresponding one of the columns and determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns. In another example, the image frame may be processed to determine a plurality of non-uniformity correction terms, each associated with a corresponding one of the pixels and determined based on relative relationships between the corresponding one of the pixels and associated neighborhood pixels within a selected distance.

Abstract: Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. The HDR image is separated into luminance and color. Luminance is processed according to the parameters to obtain a base layer and a detail layer. The base layer is compressed into a lower dynamic range and the detail layer is adjusted according to the parameters. The compressed base layer, the detail layer, and the color component may be output as separate layers, and various image processing tools and techniques may be applied to the component layers separately to modify the layer(s). One or more tone-mapped images may be generated by merging the modified layers. Thus, each layer of the tone-mapped image may be processed separately using various image processing tools or techniques to modify the output of the tone mapping technique in a wide variety of ways.

Abstract: A graph is compiled that defines a data flow from input(s) to output(s) for images. The data flow includes one or more filters to be applied to the images. Compiling the graph includes forming an assemblage of kernel invocations for the data flow and forming a mapping between kernel invocations in code for the one or more filters and the assemblage of kernel invocations. For multiple ones of a number of frames of images, code in the one or more filters is executed, data is passed into the assemblage to indicate which execution path in the assemblage should be chosen from among a plurality of possible execution paths for one of the filters, wherein the data is determined using at least the mapping and the executing code, and kernel invocations in the indicated execution path are executed. Methods, apparatus, and computer program products are disclosed.

Abstract: An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.

Abstract: A method and a system for creating three dimensional representation of an object are provided. The method includes projecting a pattern image comprising one or more pattern elements and capturing an image of the object with the pattern image projected onto the object. The method includes extracting intensity values corresponding to at least two color components of each pixel of the captured image. For each color component, a probability map is generated using the corresponding intensity values. The probability map for a color component represents a probability that a pixel of the captured image is representing a part of a pattern element. A joint probability distribution is determined by combining the probability maps. Using the joint probability distribution, specific pattern elements are located in the captured image. The method includes determining three dimensional coordinates representing points on surface of the object based on the location of the specific pattern elements.

Abstract: A videotelephony image modulation apparatus and method detects an event having a possibility of information leakage by analyzing an image and provides a secured calling mode of masking all or a part of the image and transmitting a masked image obtained through the masking.

Abstract: A method of detecting the presence of an element (fog, rain, etc. . . . ) disturbing the visibility of a scene illuminated by a headlight (105, 107) at night. The method comprises: a) acquiring an image of the scene with the help of a camera (120); b1) detecting the light sources in the image; b2) detecting the presence of the disturbing element as a function of the halo (H) appearing in the image in the vicinity of the light sources; c) detecting the presence of the disturbing element in the image as a function of the backscattering of the light emitted by the light sources; and d) weighting the results of the detections performed in steps b2) and c) in such a manner as to output an indication concerning the presence of the element disturbing the visibility of the scene. The method provides satisfactory results in an environment with or without lighting. The invention also provides a computer program and a device for implementing the method.

Abstract: Techniques for calculating sub-pixel coverage values for text to be displayed, so as to enable caching of the sub-pixel coverage values. The sub-pixel coverage values may enable a linear combination of color information for the text with color information for one or more other, overlapping display elements for calculating composite color values to be used in controlling a display. Such composite color values to be used in controlling sub-pixels of a display may be calculated, in some embodiments, without performing a gamma correction process. Also described are techniques for retrieving cached sub-pixel coverage values and combining the values with color information for text and for other, overlapping display elements to calculate composite color values for sub-pixels of a display. At least one graphics processing unit (GPU) may be configured to perform operations using the sub-pixel coverage information and to calculate the composite color values for the sub-pixels.

Abstract: During a prediction stage of video coding, a video coder may use relatively longer interpolation filters to generate predictive sub-pixel values using values of reference integer pixels of a reference block of video data positioned in parallel relative to a scanning order associated with the block and may use relatively shorter interpolation filters to generate predictive sub-pixel values using values of reference integer pixels of the block positioned perpendicular relative to the scanning order, wherein a longer interpolation filter generally refers to a filter with relatively more filter coefficients, or “taps,” and a shorter filter generally refers to a filter with relatively fewer taps.

Abstract: Methods and apparatus are disclosed for compressing and decompressing data to reduce bandwidth requirements in transmissions of predistorted signals between a processing node and a remote transmitting node of a power amplifier with digital predistortion (PA-DPD) system. In the processing node, predistorted signals are decomposed into a high-dynamic range signal of a first sample rate and a low-dynamic range signal of a second sample rate greater than the first sample rate. Samples of both signals are combined to generate a compressed signal for transmission to the remote transmitting node, which decompresses the compressed signal to restore the predistorted signal.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.

Abstract: An information processing apparatus has a decomposition unit that decomposes an image into multiple frequency component images, a reduction unit that reduces linear noise included in the frequent component images, and a reconstruction unit that reconstructs the frequency component images with reduced linear noise.

Abstract: Technologies that enable correcting for the non-linear relationship between scene irradiance and digital pixel intensity values of an image of the scene produced by a camera. Imaging noise is used as a signal from which a corrective function is derived. Noise distributions from the image are evaluated to determine the radiometric response function of the camera, from which an inverse response function is computed and used for calibration.

Abstract: A system that incorporates the subject disclosure may include, for example, partitioning the image into a group of blocks, calculating principle bilateral filtered image components for a first subset of the group of blocks where the principle bilateral filtered image components are not calculated for a second subset of the group of blocks, and applying an infinite impulse response filter to the image using the principle bilateral filtered image components. Other embodiments are disclosed.

Abstract: A filter includes a conventional filtering block and a protection block. The conventional filtering block receives input values and provides filtered values. The protection block receives filtered values and a group of input values proximate the current input, to ensure that the output is lies within a range computed for the current input. The range is determined by the protection block based on the group of input values proximate the current input. Any algorithm or statistical function may be applied to the group of input values to determine the range. If a filtered value provided by the conventional filtering block is outside the range, then the protection block computes and outputs a value that is within the range. The filter may be used in temporal or spatial filtering of images and video to mitigate artifacts such as motion artifacts and static artifacts.

Abstract: The invention relates to a method for processing video images comprising the steps for acquiring a plurality of video images during a time interval comprising a reference time t; associating a weighting factor with each of the video images, at least two of the video images having different weighting factors; memorising the video images; weighting each of the video images memorised with the associated weighting factor; generating an image called the reference image associated with the reference time t by averaging weighted video images. According to the invention, each video image is memorised with a resolution proportional to the weighting factor associated with said video image in order to reduce the memory space necessary for the storage of images and reduce the access time to the memorised images.

Abstract: Embodiments of the present invention comprise systems, methods and devices for independently increasing the perceived brightness of a view in a multiple-view display. In some embodiments this increase compensates for a decrease in display light-source illumination.

Abstract: The image processing apparatus includes an estimator configured to estimate an amount of a color blur of each of multiple color components included in a color image, and a processor configured to perform a color blur reduction process to reduce, from the color image, the color blur of each color component by using the estimated amount of the color blur thereof. The apparatus further includes a decider configured to acquire a hue formed by the color blurs of the color components and to decide, depending on the hue, an order of the color components on which the color blur reduction processes are performed.

Abstract: A system for physical link routing includes a link routing block, comprising a volume of solid material, that defines a set of link routing paths; and a first link interface, comprising a set of access points arranged in a pattern, wherein each access point of the set of access points is associated with an endpoint of a link routing path.

Abstract: Systems and method for identifying bone marrow in medical images are provided. A method includes obtaining a three-dimensional (3D) computed tomography (CT) volume data set corresponding to an imaged volume and identifying voxels in the 3D CT volume data set having a Hounsfield Unit (HU) value below a bone threshold. The voxels are identified without using image continuity. The method further includes marking the identified voxels as non-bone voxels, determining definite tissue voxels based on the identified non-bone voxels and expanding a region defined by the definite tissue voxels. The method also includes segmenting the expanded region to identify bone voxels and bone marrow voxels and identifying bone marrow as voxels that are not the bone voxels.

Abstract: Techniques are disclosed to provide user control over the manipulation of a digital image. The disclosed techniques enable a user to apply various textures that mimic traditional artistic media to a selected image. User selection of a texture level results in the blending of texturized versions of the selected image in accordance with the selected texture level. User selection of a color level results in the adjustment of color properties of the selected image that are included in the output image. Control of the image selection, texture type selection, texture level selection, and color level selection may be provided through an intuitive graphical user interface.

Abstract: A method and system is provided for combining information from a plurality of source images to form a fused image. The fused image is generated by the combination of the source images based on both local features and global features computed from the source images. Local features are computed for local regions in each source image. For each source image, the computed local features are further processed to form a local weight matrix. Global features are computed for the source images. For each source image, the computed global features are further processed to form a global weight vector. For each source image, its corresponding local weight matrix and its corresponding global weight vector are combined to form a final weight matrix. The source images are then weighted by the final weight matrices to generate the fused image.

Abstract: An image processing apparatus which is capable of adding the same soft focus effects to images different in image size irrespective of the types of image scenes. A soft focus processing section acquires an input image. Then, the soft focus processing section acquires a shooting condition for the input image. Further, the soft focus processing section generates a plurality of blurred images different in degree of blur from the input image. The input image and at least one of the blurred images are synthesized. In doing this, a synthesis ratio between the images to be synthesized is set based on the shooting condition for the input image.

Abstract: A method for creating a three-dimensional mesh model of a structure includes accessing a set of three-dimensional points associated with a set of images of the structure. For each three-dimensional point in the set of three-dimensional points, the method determines a reference image, identifies a subset of images from the set of images of the structure taken within a distance from the reference image, determines a subset of three-dimensional points seen by the subset of images, filters the subset of three-dimensional points to retain only a set of co-visible points that lie in a visibility cone of the reference image, and selects a normal using the set of co-visible points. The three-dimensional mesh model of the structure is computed using the selected normal, and the model may be provided to a second computing device.

Abstract: An image enhancement apparatus according to the present invention for generating an output image obtained by sharpening an input image includes a non-linear processing unit configured to carry out non-linear processing on an input image signal representing the input image, a filter unit configured to generate a second signal by removing at least a DC component of the frequency components included in the first signal, a limiter configured to generate a third signal by adjusting the second signal, and an adder configured to generate an output image signal representing the output image by adding the third signal to the input image signal.

Abstract: A method for generating an image restoration filter used to correct a deterioration of an image captured through an optical system includes a first step of setting a target restoration gain value representative of a target restoration degree of an absolute value of an optical transfer function of the optical system, within a restoration gain limiting value calculated by dividing a maximum value operable by a fixed-point arithmetic by a data point number of the optical transfer function, and a second step of generating, through the fixed-point arithmetic, a frequency characteristic of the image restoration filter based on the target restoration gain value set by the first step.

Abstract: Disclosed are apparatus and methods for denoising a video stream of a camera. A current frame of the video stream and a temporally adjacent frame of the video stream that has been previously spatially and temporally denoised are obtained. The current frame is first spatially denoised, while preserving edges in such current frame to generate a plurality of spatially denoised pixels for the current frame. A particular pixel of the current frame is then both spatially and temporally denoised based on a weighted averaging of the particular pixel's associated spatially denoised pixel from the current frame and a plurality of pixels from the temporally adjacent frame that have already been spatially and temporally denoised.

Abstract: Provided are a filtering method and apparatus for removing blocking artifacts and ringing noise. The filtering method includes transforming video data on a block-by-block basis, and detecting the presence of an edge region in the video data by checking the distribution of values obtained by the transformation. Accordingly, it is possible to completely remove blocking artifacts and/or ringing noise by more effectively detecting the presence of an edge region in video data.

Abstract: A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.