Abstract: Method and system for determining the spatial response signature of a x-ray detector comprising a photostimulable phosphor by generating a flat field image of the detector, generating a low-pass filtered version of the flat field image and background demodulating the flat field image by pixel-wise dividing it by means of corresponding pixel values in the low-pass filtered version.

Abstract: An image capture apparatus includes: a light irradiation unit that irradiates an object with light; a reading unit that reads an image in accordance with reflected light of the light irradiated to the object; and an enhancement unit that enhances a predetermined spatial-frequency component of the image.

Abstract: An image processor includes: a first calculator configured to calculate similarity between a first region including a target pixel and a second region including a reference pixel and calculate a multiplication coefficient which increases as the similarity increases; a second calculator configured to calculate a random number; a sum-of-products arithmetic unit configured to multiply a pixel value of each reference pixel by the multiplication coefficient and the random number and compute a sum of the products; a coefficient summation unit configured to multiply the multiplication coefficient by the random number and compute a sum of the products; and a division unit configured to divide the result of the sum-of-products arithmetic unit by the result of the coefficient summation unit.

Abstract: Methods, systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels of data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model.

Abstract: The disclosed image enlargement device is provided with: an image enlargement filter (1) that enlarges an input image, generating a first enlarged image; a first wavelet transformation unit (2) that performs a wavelet transformation on the first enlarged image; a second wavelet transformation unit (3) that performs a wavelet transformation on the first enlarged image; and an accentuation processing unit (6, 7, 8, 10) that performs an accentuation process using a first edge signal (EDGE_CDF9/7), generated from the output of the first wavelet transformation unit, and a second edge signal (EDGE_Harr), generated from the output of the second wavelet transformation unit. The first wavelet transformation unit and the second wavelet transformation unit perform different wavelet transformations.

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; providing a video file depicting a video, in a computer memory; scale separating the video file by applying an edge-preserving blurring filter to generate a detail scale-separated video and a level scale-separated video corresponding to the video; temporally blurring the detail scale-separated video and spatially blurring the level scale-separated video; combining the filtered detailed scale-separated video and the filtered level scale-separated video to provide an output video; and outputting the output video for use in a data compression operation.

Abstract: An image noise removing apparatus which removes, after removal of noise from a first image, noise included in a second image includes: a spatial noise removing unit executing an operation for removing the noise included in the second image using a pixel value included in the second image, thereby generating a spatial noise-free image; a reliability calculating unit calculating a reliability indicating how dynamic the second image is, based on the spatial noise-free image, the second image, and a first noise-free image which is generated from the first image with the noise therein removed; and a temporal blending unit performing, based on the reliability, a weighted summation on the second image and the first noise-free image, thereby removing the noise included in the second image.

Abstract: The present disclosure provides methods and systems for processing data. One claim recites a method practiced using used a user's camera-equipped portable computer system. The method includes the acts of: capturing image data corresponding to a region using the camera of the portable computer system; applying a filter to the captured image data, in which the filter prioritizes image data at a center of the region and averages images data at a relative distance from the center region; and searching the filtered image data for hidden keys. Of course, other combinations and claims are provided as well.

Abstract: To use both intraframe prediction coding and interframe prediction coding, and at the same time restrict a transfer volume of reference data used in motion detection in interframe prediction coding. In a coding apparatus that compression-codes moving images, both intraframe prediction coding and interframe prediction coding are applied and prediction coding is carried out using a prediction image produced by the coding system deemed to have the higher coding efficiency.

Abstract: Disclosed is an apparatus for image processing including a first low pass filter (LPF) which removes high-frequency components from selection information about image data selection between a long-exposure image and a short-exposure image, a movement detector which obtains movement detection information by detecting movement from at least one of the images, a second LPF which removes high-frequency components from the movement detection information, a selector which obtains selection results by selecting one of the selection information from which the high-frequency components are not removed by the first LPF and the selection information from which the high-frequency components are removed by the first LPF, for each pixel group based on the movement detection information from which the high-frequency components have been removed, and a composer which composes the long-exposure image and the short-exposure image based on the selection results.

Abstract: An image processing apparatus includes an input unit configured to input image data, a detection unit configured to detect a region corresponding to local light in an image represented by the image data input by the input unit, and a processing unit configured to perform blur processing on the region corresponding to the local light and detected by the detection unit, wherein the processing unit varies, according to a position of the region corresponding to the local light and detected by the detection unit, an area on which to perform the blur processing.

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

Abstract: Image signal processing method and apparatus having a first filter storage portion in which first filters are correlatively stored; a second filter storage portion in which second filters are correlatively stored; a first filter selection portion for selecting a first filter based on the power spectrum of the input image; a second filter selection portion for selecting a second filter based on the SIN (signal-to-noise ratio) of the input image; a third filter creation portion for creating a third filter by summing up the first and second filters; and a convolutional processing portion for convolving the input image using the created third filter.

Abstract: An image editing application (or a blur classification module thereof) may automatically estimate a coherent defocus blur map from a single input image. The application may represent the blur spectrum as a differentiable function of radius r, and the optimal radius may be estimated by optimizing the likelihood function through a gradient descent algorithm. The application may generate the spectrum function over r through polynomial-based fitting. After fitting, the application may generate look-up tables to store values for the spectrum and for its first and second order derivatives, respectively. The use of these tables in the likelihood optimization process may significantly reduce the computational costs of a given blur estimation exercise. The application may minimize an energy function that includes a data term, a smoothness term, and a smoothness parameter that is adaptive to local image content. The output blur map may be used for image object depth estimation.

Abstract: Methods, apparatus, and computer-readable storage media for fast adaptive edge-aware matting in which a matting technique adaptively feathers selections, provides smooth color correspondence matting, and performs well in textured regions. The matting technique may require fewer strokes and less parameter tuning than conventional matting techniques. The matting technique may have two components implemented in a matting pipeline. A color similarity component implements a color similarity constraint technique based on a radial basis function (RBF) technique to generate a color-constrained mask, and a locality constraint component implements a locality constraint technique based on a fast flood fill technique to generate a locality-constrained mask. The final mask (or matte) output may be an element multiply of the masks generated by the two components.

Abstract: An image processing apparatus is provided which offers higher versatility than conventional image processing apparatuses. When an input signal to a spatial filtering block is a monochrome signal that contains Y component only, a selector selects its input terminal and a selector selects its input terminal. Then, a low-pass filter output signal of a programmable spatial filter is inputted to a spatial filter, and a low-pass filter output signal of the spatial filer is inputted to a spatial filter. That is, the programmable spatial filter and the spatial filters are connected in series (in cascade), and the cascade-connected three spatial filters perform filtering operation. In this example, low-pass filters with 5H5 taps are connected in cascade in three stages, which enables low-pass filtering with 13H13 taps.

Abstract: Provision can be made of a high-speed image processing apparatus that eliminates poor visibility in a dotted configuration or a superimposed portion of two streaks upon removing a false image due to statistical noise. That is, provision can be made of a high-speed image processing apparatus capable of outputting a processed image of high visibility in accordance with a shape of a configuration of a subject appearing in an original image upon removing a false image associated with the statistical noise. A band image noise extract generating unit performs image processing by superimposing a band image, an isotropic blur image, and an anisotropic blur image while changing weighting for each pixel in accordance with edge reliability. Such a construction eliminates poor visibility in the dotted configuration or the superimposed portion of two streaks upon removing the false image in the original image.

Abstract: A method for detecting and removing scrolling texts comprising a step of using an adaptive transient difference processing of video communication to conduct frame calculation, wherein the adaptive transient difference processing takes first N frames fjkt?N and a current frame fjkt, and subtracts them to obtain a frame difference; and if the frame difference is greater than a threshold value, it is determined that the current frame fjkt has scrolling texts; and interpolates the first N frames before the current position of the scrolling texts to replace the current frame fjkt to achieve the goal of hiding the scrolling texts during video communication to enhance the viewing effect.

Abstract: A method and system (30) generates an output image (21) of increased pixel resolution from an input image (20), which is non-dyadically upscaled to generate an upscaled image (22) having more pixels than the input image and is low-pass filtered to generate a smoothed image (23). A high detail image (24) is generated by subtraction and for each pixel in the upscaled image, a patch (25) containing the pixel is identified. A best-fit patch (26) within a localized region (27) of the smoothed image is found by searching in the smoothed image in close proximity to a mapped location of the patch in the upscaled image. Each pixel in the patch of the upscaled image is corrected by uniquely adding the value of the corresponding pixel in an equivalent patch of the high detail image corresponding to the best-fit patch, and the corrected upscaled image is stored for further processing.

Abstract: Systems and methods are provided for producing a rendered drawing or rendering from a detailed image of an object (e.g. photograph) resulting in a rendering that is photogrammetric and that preserves detail in the said image of said object. The combination of the metric nature and image detail preservation in a rendering resulting from the process enhances the usefulness of the rendering to users. The invention is useful in particular for large format renderings such as wire frame style drawings used for blueprints in the architecture, engineering and construction industry (AEC industry) when used for existing structures. The processes combine graphic arts techniques with photogrammetric techniques to preserve, fully or partially, information about an object as captured in image detail of said object and to present said information in photogrammetrically correct rendering, which rendering may be incorporated into drawings useful to and/or familiar to end users of said drawings.

Abstract: Methods and apparatus for filtering noise of low frequency from an image of the surface characteristics of an object expressed with reference to orthogonal first and second axis and obtained with linear light scanning, involve calculating a difference between pixel values of an image column vector along the second axis adjacent a selected reference image column vector and respective pixel values of the selected reference image column vector to obtain a pixel difference vector. The pixel difference values not mainly associated with a corresponding atypical change of surface characteristics as compared with noise are then selected, and a mean value from the selected pixel difference values are calculated as an estimated value of the noise. The estimated noise value are subtracted from the adjacent image column vector to obtain a corrected image column vector.

Abstract: In a method, unit and display device, the input image signal is split into a regional contrast signal and a detail signal, followed by stretching separately the dynamic ranges for at least one of the signals. The dynamic range for the regional contrast signal is stretched with a higher stretch ratio than the dynamic range for the detail signal. The stretch ratio for the detail signal may be near 1 or 1. Further, highlights are identified, and for the highlights the dynamic range is stretched to an even higher degree than for the regional contrast signal.

Abstract: When a blurring process is performed for an image, noise is reduced according to the characteristics of a blurring process filter in a target region of the blurring process. Accordingly, a difference occurs in noise amount with a non-target region of the blurring process. In view of such situations, an image processing apparatus according to an embodiment of the present invention adds noise to the blurring target region. Accordingly, the difference in noise amount can be reduced, and a blurring-emphasized image with a natural texture can be created. Furthermore, the image processing apparatus according to the embodiment of the present invention determines the noise amount according to the blurring amount by the blurring process filter while considering that, the larger the blurring amount is, the more greatly the noise is reduced by the blurring process, and adds the noise.

Abstract: Techniques in accordance with the following disclosure enable digital images to be filtered (smoothed) to reduce noise and, at the same time, preserve the image's underlying structure. In general, image pixels are analyzed to identify those that participate in, or belong to, structure within the image and those that do not. For those pixels determined to be part of the image's structure, the direction of that structure is determined and filtering or smoothing along that direction is provided. Contrast enhancement in a direction perpendicular to the detected edge's direction may also be provided.

Abstract: A three-dimension (3D) image processing method is disclosed. A plurality of asymmetric filtering is performed on an input depth map to obtain a plurality of asymmetric filtering results. One among the asymmetric filtering results is selected as an output depth map. A two-dimension (2D) image is converted into a 3D image according to the output depth map.

Abstract: Method of removing the spatial response signature of a detector from a computed radiography image by adaptively filtering and spatially warping the characteristic response signature of the detector prior to demodulation.

Abstract: The embodiments provide an image processing method and apparatus, which combine a wavelet transform method with a non-local means method, comprising: performing N-level decomposition of an original gray image by using a wavelet transform method; and performing non-local means processing and wavelet reconstruction of each level of components one by one starting from an N-th level, so as to obtain a processed gray image. The image processing method and apparatus can effectively remove various image noises, and well reserve the image details.

Abstract: This invention is to provide an image processing apparatus, an image processing method, a program, and a display in which both of a secret image and a public image can be efficiently displayed with high picture quality without reducing contrast of the public image. One of output images is a secret image which displays an input secret image as one of input images in a partial area of a screen, all the output images including the secret image have a relationship to become, when a luminance value of each pixel thereof is totaled, an input public image as one of the input images; and during a period in which at least the secret image is being outputted, shutter glasses disposed between a display to which the image signals are inputted and user's eyes are set to a light transmission state.

Abstract: Accurately estimating the image quality of video is still difficult, especially when there is no reference video available. A method for determining a quality measure for a video image comprises selecting a measuring point, such as a MB, determining a context area around the measuring point, calculating a variance of pixel values in the context area, calculating a variance of pixel values in the measuring point, calculating a relation between the two variances of pixel values, and averaging said relations for a plurality of measuring points, wherein a quality measure for a video image is obtained.

Abstract: An image processing device includes: a first band limiting unit that reduces noise included in an input image; and a restoring unit, wherein the restoring unit has a difference calculating unit that calculates a difference between the input image and a noise-reduced image, a predicted noise obtaining unit that obtains a predicted noise amount to be included in the input image, a correction signal generating unit that generates a correction signal for correcting the noise-reduced image and controlling an absolute value of the difference between the input image and the noise-reduced image within a range of the predicted noise amount, and an image synthesizing unit that corrects the noise-reduced image based on the correction signal.

Abstract: A system and method of image processing is provided, including implementing adaptive pixel replacement techniques or reducing noise. The method includes obtaining a data map of an image frame, wherein the data map comprises good pixels and bad pixels at locations associated with the data map. The method also includes assigning different techniques to the bad pixels, wherein a first technique is assigned to a first bad pixel and a second technique is assigned to a second bad pixel. The method further includes adjusting information associated with the bad pixels for a chosen technique for each of the bad pixels.

Abstract: An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; providing a video file depicting a video, in a computer memory; scale separating the video file by applying an edge-preserving blurring filter to generate a detail scale-separated video and a level scale-separated video corresponding to the video; temporally blurring the detail scale-separated video and spatially blurring the level scale-separated video; combining the filtered detailed scale-separated video and the filtered level scale-separated video to provide an output video; and outputting the output video for use in a data compression operation.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for reducing artifacts in an image generated by a display device. In one aspect, data is written to a display and a position of display elements is maintained based on the application of a bias voltage pattern. The bias voltage pattern includes alternating polarities along one dimension in a pattern having a first frequency spectrum, and alternating polarities along a second dimension in a pattern having a second frequency spectrum that is different than the first frequency spectrum. At least one of the first and second frequency spectrums may include a plurality of frequency components.

Abstract: A radiographic image processing apparatus in this invention decreases a spatial resolution twice in total by a low-frequency image generating device and a low-frequency characteristic generating device. Thereby an influence such as noise and thus calculation amounts are decreased. Moreover, excessive characteristic amounts (patterns) not removed among characteristic amounts extracted through the low-frequency image generating device and a characteristic extracting device can be decreased by decrease of the spatial resolution by the low-frequency characteristic generating device. Consequently, influence such as noise and calculation amounts can be decreased for the low-frequency characteristics generated by the low-frequency characteristic generating device and a radiation area extracted by an area extracting device on the latter stage.

Abstract: Systems and methods are provided for providing a navigation interface to access or otherwise use image content items. In one embodiment, an image manipulation application identifies at least one offset curve corresponding to at least one base curve. The offset curve may identify an offset curve corresponding to the outer boundary of a feathered region for an image mask. The image manipulation application identifies multiple line segments identifying the offset curve. Each line segment connects a sampled point along the path of the base curve to a corresponding point along the path of the offset curve. The image manipulation application determines that the offset curve includes a retrograde region based on analyzing the line segments. The image manipulation application modifies the at least one offset curve to eliminate at least some of the retrograde region by applying a radius-modulating filter to one or more of the line segments.

Abstract: Systems and methods are provided for upscaling a digital image. A digital image to be upscaled is accessed, where the digital image comprises a plurality of pixel values. A first half pixel value is computed for a first point in the digital image based on a plurality of pixel values of the digital image surrounding the first point and an activity level. A second half pixel value is computed for a second point in the digital image, and an interpolated pixel of an upscaled version of the digital image is determined using a plurality of the pixel values, the first half pixel value, and the second half pixel value.

Abstract: An image processing apparatus includes an image reducing section generating at least one reduced image by generating a reduced pixel with reference to pixel values by each predetermined area of a target image being a process object, a noise extracting section extracting a noise component at a frequency band according to a reduction ratio of the reduced image for each reduced pixel based on the reduced image, a noise subtraction section subtracting the noise component of the reduced pixel from each of pixels at the predetermined area being referred to generate the reduced pixel, and an area smoothing section smoothing the pixels with each other at the predetermined area being referred to generate the reduced pixel based on the noise component of the reduced pixel.

Abstract: A system and method for applying motion blur to an application window. Motion blur may be applied to pixel in a window by calculating a velocity vector for each pixel in the window with reference to velocity vectors calculated for each corner of the window. Motion blur may be implemented by placing a number of blur samples in a frame along the pixel velocity vector according to the size of the pixel vector, or by directionally downsampling then re-upsampling the content of the window. For a frame having multiple windows, the motion blur for each window may be determined independent of the motion of other windows or as a composite for windows moving together. According to an embodiment, for each pixel in the frame, the associated application window may be identified and the pixel blurred with reference to the corner velocities of the associated application window.

Abstract: A method for performing fast detail-preserving filtering of an input digital image includes, for each pixel in the image, calculating the difference between the selected pixel and each of its four neighboring pixels located above, left, right, and below the selected pixel, calculating a scaled weighted sum of differences between the actual pixel and its four neighbors, where for each neighboring pixel the weight is an edge-sensing function having a data-adaptive scaling parameter function, and adding the weighted sum of differences to the value of the selected pixel.

Abstract: A noise elimination device includes a low pass filter unit, a noise filtering unit and a signal synthesis unit. The low pass filter unit generates a low frequency image signal by separating low frequency elements from an input image signal. The noise filtering unit generates a filtered image signal by suppressing noise in the low frequency image signal in horizontal and vertical directions. The signal synthesis unit generates an output image signal by combining the high frequency image signal and the filtered image signal.

Abstract: A system for enhancing an input image including receiving an input image and filtering the input image with a plurality of non-linear smoothing filters providing a respective plurality of filtered outputs. The system processes a plurality of the filtered outputs with respect to at least one of another of the filtered outputs and the input image to determine a plurality of detail layers. The system filters the plurality of detail layers with a plurality of non-linear smoothing filters providing a respective plurality of smoothed layers. The system adjusts the plurality of smoothed layers in such a manner that regions closer to an edge are enhanced to a lesser extent than regions farther from an edge and combining the adjusted the smoothed layers to provide an enhanced output image.

Abstract: An image processing device (21) is provided with: a noise suppression processor (23) for creating a noise-reduced image (NRs) by executing spatial filtering on a plurality of pixels, which fall within a reference range that includes a pixel of interest, in an input image (Is); and a distortion correction processor (24) for correcting distortion by local stretching or shrinking by a magnification factor (R) corresponding to the local amount of distortion in the noise-reduced image (NRs). The reference range is dynamically changed in accordance with the magnification factor (R). Control is performed so that the reference range becomes narrower as the magnification factor (R) increases.

Abstract: A method for predicting whether a test image (318) is sharp or blurred includes the steps of: providing a sharpness classifier (316) that is trained to discriminate between sharp and blurred images; computing a set of sharpness features (322) for the test image (318) by (i) generating a high pass image (404) from the test image (318), (ii) generating a band pass image (406) from the test image (318), (iii) identifying textured regions (408) in the high pass image, (iv) identifying texture regions (410) in the band pass image, and (v) evaluating the identified textured regions in the high pass image and the band pass image to compute the set of test sharpness features (412); and evaluating the sharpness features using the sharpness classifier (324) to estimate if the test image (318) is sharp or blurry (20).

Abstract: A system and method for generating a fused image is provided. The system comprises processing circuitry configured to receive a plurality of images, filter each received image using an edge preserving filter, compute a weight for each received image based on the corresponding filtered image and the received image and generate a fused image based on the weights of each received image. The system further comprises a memory device configured to store the fused image.

Abstract: A method of processing an image, including estimating a point spread function (PSF) of an acquired image, and performing image restoration on the acquired image using the estimated PSF based on a generalized Gaussian model using inverse filter frequency domain so as to perform image restoration at high speed and to prevent a halo effect. The method provides high speed processing while preventing a halo effect. The apparatus includes an ultrasonic imaging apparatus including: an ultrasonic probe to irradiate an object with ultrasonic waves and to receive ultrasonic echo waves reflected from the object; a beamformer configured to perform beam forming based on the ultrasonic echo waves received by the ultrasonic probe; an image restorer configured to restore the image beam formed by the beamformer based on a generalized Gaussian model; and an postprocessor configured to suppress noise and aliasing which are produced in the process of restoring the image.

Abstract: An image processing method is provided and includes the following steps. A source image arranged in a Bayer pattern is captured. A first-order image process is performed on the source image to produce a first image in YCbCr format. A second-order image process is performed on the source image to produce a second image in YCbCr format. Then, a noise-reducing process is performed on the first image in YCbCr format to produce a noise-reduced image. A blending operation is performed on luminance image of the noise-reduced image and luminance image of the second image in YCbCr format, and thereafter a chrominance image is combined with the blended image to produce a processed image. A noise reducing degree of the noise-reduced image is higher than that of the second image in YCbCr format.

Abstract: An apparatus is described. The apparatus includes a digital camera that is capable of shooting at least two images at different effective lens focal lengths. The camera is also capable of high pass filtering (HP) said at least two images, estimating respective spectral densities (SD) of said at least two filtered images and then low pass filtering (LP) the respective estimates of said at least two filtered images prior to combining said at least two images into a single image to produce one or more optical effects.

Abstract: An image processing apparatus including: an error determination processing unit inputting a distance image having distance information or parallax information up to the subject, detecting an error signal included in the distance image, and outputting a synthesis coefficient according to an error degree of an image region unit; a low pass filter processing unit applying a low pass filter with respect to the distance image and generating a noise reduction distance image; and a distance image synthesis unit generating a corrected distance image using a synthesis process of the distance image and the noise reduction distance image, in which, the distance image synthesis unit follows a synthesis coefficient of an image region unit output by the error determination processing unit, performs synthesis processing in which the synthesis ratio of the distance image and the noise reduction image is set in the image region units, and generates the corrected distance image.

Abstract: The invention relates to a method for noise suppression in images of an image sequence. It is an object of the invention to find how an iteratively better adapted noise suppression can be ensured for images of an image sequence, in particular given a rising number of images. According to the invention, this object is achieved by a method for noise suppression which provides a low-pass filter algorithm: Pi,jn+1=?i,jn+1*Pi,jn+(1??i,jn+1)*Qi,jn+1 with an attenuation function ?i,jn+1=?i,jn+1(?0i,jn+1,?i,jn+1).

Abstract: Adjacent blocks are identified in an image. Coding parameters for the adjacent blocks are identified. Deblock filtering between the identified adjacent blocks is skipped if the coding parameters for the identified adjacent blocks are similar and not skipped if the coding parameters for the identified adjacent blocks are substantially different.