Class / Patent application number | Description | Number of patent applications / Date published |
382279000 | Convolution | 23 |
20080219590 | Method and system for correlating physical model representation to pattern layout - One embodiment of the present invention provides a system that reduces computational complexity in simulating an image resulting from an original mask and an optical transmission system. During operation, the system obtains a set transmission cross coefficient (TCC) kernel functions based on the optical transmission system, and obtains a set of transmission functions for a representative pattern which contains features representative of the original mask. The system constructs a new set of kernel functions based on the TCC kernel functions and the transmission functions for the representative pattern, wherein responses to the new kernel functions in a resulting image corresponding to the representative pattern are substantially uncorrelated with one another. The system further produces an intensity distribution of a resulting image corresponding to the original mask based on the new kernel functions, thereby facilitating prediction of a layout that can be produced from the original mask. | 09-11-2008 |
20090034874 | Spatially-Varying Convolutions for Rendering Glossy Reflection Effects - Glossy reflections may include areas that are less clear (more blurry) than other regions. For instance, an area of reflection that is closer to the object being reflected may appear clearer than a region that is farther from the object. When generating a glossy reflection, the total amount of light reaching each point on the reflecting surface is calculated according to a spatially-varying convolution kernel of the transparency information for the image being reflected. Ray-tracing, traditionally used to determine a spatially varying convolution, can be very CPU intensive. Instead of using ray-tracing, data structures, such as MIP-maps and summed-area tables, or separable linear filters may be used to compute the spatially-varying convolution. For example, a two-dimensional convolution may be computed as two spatially-varying, separable, linear convolution filters—one computing a horizontal component and the other a vertical component of the final 2D convolution. | 02-05-2009 |
20090129699 | Image processing system - The invention relates to an image processing system for omnidirectional reading of optical patterns, for example of one-dimensional and two-dimensional codes. | 05-21-2009 |
20090175558 | IMAGE PROCESSOR AND METHOD THEREFOR, AND IMAGE DISPLAY DEVICE - An image processor is provided with the high-frequency component detecting unit that calculates a convolution for each of regions of interest in part of an image region of input image data, to output the high-frequency component detection result for each pixel of interest; the smoothing unit that smoothes the image data, to output the smoothed image data; and the image data processing unit that combines based on the high-frequency component detection result the image data with the smoothed image data, to output the combined image data; wherein the image data processing unit varies the combination rate for the smoothed image data, based on the high-frequency component detection result. Thereby, even when a region in the image data contains such high frequency components as a checkered pattern has, an image resistant to moiré that would be generated in magnifying or reducing of the image on a region basis can be displayed without deterioration of image quality. | 07-09-2009 |
20090310887 | SPATIALLY SELECTIVE TRANSFORMATION OF A SPATIALLY VARYING OPTICAL CHARACTERISTIC OF AN IMAGE IN AN ARRAY OF PIXELS - A method and system for selectively transforming a spatially varying optical characteristic (F) of an image in a pixel array. The pixel array is segmented into stripes of contiguous rows. A two-dimensional convolution C(x, y) of F is determined at only selected pixels (x, y). C(x, y) is a function of a product of a horizontal kernel h(x) and a vertical kernel v(y). Determining C(x, y) at each selected pixel (x, y) includes determining n vertical convolutions, wherein each vertical convolution is equal to a scalar product of F and v(y) in a kernel space surrounding (x,y), forming an array (V) from the n vertical convolutions, and computing C(x,y) as a scalar product of V and a constant horizontal vector (H) formed from h(x). The stripes are collected to form a transformed image which is stored and/or displayed. A cache facilitates selective reuse of vertical convolutions for determining C(x,y). | 12-17-2009 |
20100158408 | SELECTIVELY TRANSFORMING A MULTI-DIMENSIONAL ARRAY - A method for selectively transforming a multi-dimensional input array comprising D dimensions includes segmenting the input array into a number of sub-arrays with a computing system; determining a D-dimensional convolution of the input array at only selected points in each the sub-array, the convolution being a function of a product of D one-dimensional kernels; determining partial convolutions at each dimension iteratively, an iterative determination of one of the partial convolutions being determined, in part, from a previous iterative determination; collecting transformed sub-array values to form a transformed input array; and storing the transformed input array. | 06-24-2010 |
20100177984 | DECONVOLUTION FOR THE REDUCTION OF BLURRING INDUCED BY INTERNAL REFLECTIONS - A system and method of image processing employ mathematical deconvolution to estimate the magnitude and location of a target object within an image. Both the nature of internal reflections and the convolution process by which each internal reflection contributes to blurring of the acquired image data may be measured and modeled. In accordance with mathematical deconvolution techniques, the combined effects of these internal reflections may be reduced to the extend that respective contributions of the target object and each individual reflection may be distinguished and quantified. | 07-15-2010 |
20100329585 | Spatial standard observer - The present invention relates to devices and methods for the measurement and/or for the specification of the perceptual intensity of a visual image, or the perceptual distance between a pair of images. Grayscale test and reference images are processed to produce test and reference luminance images. A luminance filter function is convolved with the reference luminance image to produce a local mean luminance reference image. Test and reference contrast images are produced from the local mean luminance reference image and the test and reference luminance images respectively, followed by application of a contrast sensitivity filter. The resulting images are combined according to mathematical prescriptions to produce a Just Noticeable Difference, JND value, indicative of a Spatial Standard Observer, SSO. Some embodiments include masking functions, window functions, special treatment for images lying on or near borders and pre-processing of test images. | 12-30-2010 |
20110311160 | Method and Apparatus for Anti-Aliasing Scan Conversion - Methods and apparatuses for anti-aliasing scan conversion. In one aspect of the invention, an exemplary method to scan convert an image on a data processing system includes: sampling the image in a first direction to generate first signals for points along a second line in a second direction using a closed form solution for a convolution integral with a first kernel; and weighting the first signals for the points according to a second kernel in the second direction to generate a second signal for a pixel. In one example according to this aspect, the closed form solution is tabulated in a look up table. After entries are looked up from the look up table according to the image along a first line in the first direction on a first point of the points, the entries are combined to generate one of the first signals for the first point. | 12-22-2011 |
20120033895 | DECONVOLUTION FOR THE REDUCTION OF BLURRING INDUCED BY INTERNAL REFLECTIONS - A system and method of image processing employ mathematical deconvolution to estimate the magnitude and location of a target object within an image. Both the nature of internal reflections and the convolution process by which each internal reflection contributes to blurring of the acquired image data may be measured and modeled. In accordance with mathematical deconvolution techniques, the combined effects of these internal reflections may be reduced to the extent that respective contributions of the target object and each individual reflection may be distinguished and quantified. | 02-09-2012 |
20120201477 | Kinetic Super-Resolution Imaging - Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described. | 08-09-2012 |
20130011078 | Hyper-Resolution Imaging - Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images. | 01-10-2013 |
20130136378 | METHOD AND SYSTEM FOR GENERATING OUTPUT IMAGE DATA - A method of generating output image data comprises obtaining derivative data relating to a reference image; obtaining a constraint for output image data; and generating the output image data from the derivative data relating to the reference image in dependence on the constraint. This method can be used to recover a robust output image from the derivative of an input image. | 05-30-2013 |
20140010475 | Digital Image Resampling - Systems, methods and computer program products are disclosed for resampling a digital image. According to an implementation, a source image can be presharpened and upsampled to a first upsampled image having a specified image size and a first level of presharpening. The source image is also presharpened and upsampled to a second upsampled image having the specified image size and second level of presharpening that is less than the first level of presharpening. The first and second upsampled images are deblurred. A binary edge mask image is generated from the deblurred, upsampled images. The binary edge mask image is dilated and blurred to generate a deep mask image. The first and second, deblurred upsampled images are blended together using the deep mask image. | 01-09-2014 |
20140023291 | METHODS AND APPARATUS FOR IMAGE DEBLURRING AND SHARPENING USING LOCAL PATCH SELF-SIMILARITY - Various embodiments of methods and apparatus for image deblurring and sharpening using local patch self-similarity are disclosed. In some embodiments, an input blurred image is down-sampled to generate a downsized image. The downsized image is convolved with a blur kernel to obtain a smoothed image. For each of a plurality of patches of the input blurred image, a corresponding patch in the smoothed image is found. High frequency components between each of the plurality of corresponding patches in the smoothed image and corresponding patches of the downsized image are computed. The high frequency components are applied to the plurality of patches of the input blurred images to generate a deblurred version of the input blurred image. | 01-23-2014 |
20140112596 | Parallel Image Convolution Processing with SVD Kernel Data - A method of image processing includes receiving camera data representative of an object, implementing, with a processor, a convolution operation on the camera data to generate filtered data representative of the object, the convolution operation being configured with singular value decomposition (SVD) kernel data, and storing the filtered data in a memory. Implementing the convolution operation includes applying the SVD kernel data in parallel to a plurality of subsets of the camera data. | 04-24-2014 |
20140198994 | Method for Establishing Evaluation Standard Parameters and Method for Evaluating the Quality of a Display Image - The present invention discloses a method for establishing evaluation standard parameters and method for evaluating the quality of a display image, wherein, the method comprises: taking pictures to a group of test images having different color shift severity degrees to obtain a sample picture group; selecting a standard picture by human eye; applying the Fourier transform to tristimulus values of all pictures; respectively applying convolution to the frequency distribution function corresponding to each primary color with a contrast sensitivity function of human eye; respectively normalizing to each of the convolution functions; and selecting the evaluation parameters of the three primary colors of the standard picture as the evaluation standard parameters. The present invention can obtain more objective and systemic evaluation standard parameters. | 07-17-2014 |
20140219579 | APPLYING RAPID NUMERICAL APPROXIMATION OF CONVOLUTIONS WITH FILTERS FOR IMAGE PROCESSING PURPOSES - A computer implemented method for A computer implemented method for applying a numerical approximation of a convolution of image I as represented by hierarchical signals a | 08-07-2014 |
20150071566 | PSEUDO-INVERSE USING WEINER-LEVINSON DECONVOLUTION FOR GMAPD LADAR NOISE REDUCTION AND FOCUSING - An apparatus and method for image processing of XYZ point clouds obtained from a GmAPD LADAR using low-pass filtering followed by high-pass filtering and deconvolution. Preferably, the low-pass filter parameters are developed numerically utilizing Weiner-Levinson Deconvolution (WLD). | 03-12-2015 |
20150086134 | LOW POWER PROGRAMMABLE IMAGE PROCESSOR - A convolution image processor includes a load and store unit, a shift register unit, and a mapping unit. The load and store unit is configured to load and store image pixel data and allow for unaligned access of the image pixel data. The shift register is configured to load and store at least a portion of the image pixel data from the load and store unit and concurrently provide access to each image pixel value in the portion of the image pixel data. The mapping unit is configured to generate a number of shifted versions of image pixel data and corresponding stencil data from the portion of the image pixel data, and concurrently perform one or more operations on each image pixel value in the shifted versions of the portion of the image pixel data and a corresponding stencil value in the corresponding stencil data. | 03-26-2015 |
20150371359 | PROCESSING METHOD AND APPARATUS FOR SINGLE-CHANNEL CONVOLUTION LAYER, AND PROCESSING METHOD AND APPARATUS FOR MULTI-CHANNEL CONVOLUTION LAYER - A processing method and a processing apparatus for a single-channel convolution layer, and a processing method and apparatus for a multi-channel convolution layer are provided. The processing method for a single-channel convolution layer includes following steps. Data to be processed is divided into a plurality of data blocks, the plurality of data blocks are read by a plurality of graphic processor thread groups into local memories of the plurality of graphic processor thread groups, a plurality of filters are read by the plurality of graphic processor thread groups into the local memories of the plurality of graphic processor thread groups and convolutions of corresponding data points in the plurality of data blocks and the plurality of filters simultaneously are calculated by a plurality of threads in the plurality of graphic processor thread groups. | 12-24-2015 |
20160253830 | MINIMIZING BLUR OPERATIONS FOR CREATING A BLUR EFFECT FOR AN IMAGE | 09-01-2016 |
20160379073 | SYSTEMS AND METHODS FOR IMAGE PROCESSING IN A DEEP CONVOLUTION NETWORK - A method performed by an electronic device is described. The method includes interleaving multiple input image channels to produce an interleaved multi-channel input. The method also includes loading the interleaved multi-channel input to a single-instruction multiple data (SIMD) processor. The method further includes convolving the interleaved multi-channel input with a multi-channel filter. | 12-29-2016 |