Patent application number | Description | Published |
20090141321 | GENERATING AN INTERIM CONNECTION SPACE FOR SPECTRAL DATA - Generation of an Interim Connection Space for spectral data in a full spectral space is provided. A set of linear maps is accessed, each linear map characterizing a linear transformation from the full spectral space to a colorimetric space, and spectral measurement data is accessed. The linear maps can for example be determined by a set of illuminants. The full spectral space is decomposed into a first subspace that minimizes a loss of a spectral component in the spectral measurement data under a projection along a second subspace onto the first subspace. The second subspace is a null subspace of the set of linear maps. The Interim Connection Space is generated based on the first subspace. The Interim Connection Space can include, for example, a linear map characterizing a linear transformation from the Interim Connection Space to the full spectral space, and a linear map characterizing a linear transformation from the full spectral space to the Interim Connection Space. | 06-04-2009 |
20090141322 | GENERATING A DEVICE INDEPENDENT INTERIM CONNECTION SPACE FOR SPECTRAL DATA - Generation of an Interim Connection Space (ICS) of a full spectral space is provided. A space of illuminants is accessed, and the full spectral space is decomposed into a first subspace that is an orthogonal complement of a metameric black subspace for the space of illuminants. The Interim Connection Space is generated based on the first subspace. The generated ICS can be used, for example, for rendering an image on an additive color destination device. One image rendering workflow includes accessing color data of the image in an ICS, transforming the color data from the ICS into a device dependent color space of an additive color destination device, and rendering the transformed color data on the destination device. | 06-04-2009 |
20090141970 | GENERATING A TRANSFORMED INTERIM CONNECTION SPACE FOR SPECTRAL DATA - Generation of a transformed Interim Connection Space for spectral data is provided. A first Interim Connection Space for spectral data in a full spectral space is accessed. A first map, which characterizes a linear transformation from the full spectral space to a first color space, is accessed. A second map, which characterizes a linear transformation from the first Interim Connection Space to the first color space, is determined. The first Interim Connection Space is decomposed into orthogonal subspaces, the orthogonal subspaces including a first subspace that is a null space of the second map and a second subspace that is an orthogonal complement of the null space in the first Interim Connection Space. The transformed Interim Connection Space is generated based on the first subspace and the second subspace. | 06-04-2009 |
20090148040 | SPECTRAL GAMUT MAPPING BASED ON A COLORIMETRIC GAMUT MAPPING - Mapping spectral colors in an Interim Connection Space (ICS) of a full spectral space based on a colorimetric gamut map in a color space is provided. A spectral color value in the ICS is accessed, and the spectral color value is transformed into a calorimetric color value in the color space. The calorimetric color value is mapped into mapped calorimetric color value in a first subspace of the ICS. Mapping the colorimetric color value includes gamut-mapping the calorimetric color value using the calorimetric gamut map, followed by identifying the color space with the first subspace. An intersection of a spectral gamut in the ICS and an affine subspace characterized by the mapped colorimetric color value is determined, and the spectral color value is projected onto the intersection. The first subspace is an orthogonal complement of a null space of a transformation from the ICS to the color space. | 06-11-2009 |
20090185200 | Gamut mapping in spectral space based on an objective function - Mapping spectral colors in an Interim Connection Space (ICS) of a full spectral space based on an objective function is provided. A spectral color value in the ICS is accessed, and a spectral gamut boundary of the destination gamut is accessed. The spectral color value is mapped into mapped spectral color value based on minimization of an objective function of coordinates of a first subspace of the ICS, by fixing coordinates of a second subspace of the ICS, subject to a constraint that a result is within the spectral gamut boundary. The first subspace is a null space of a transformation from the ICS to a color space, while the second subspace is an orthogonal complement of the first subspace in the ICS. The constraint is determined by a gamut section that is an intersection of the spectral gamut in the ICS and an affine subspace characterized by the fixed coordinates of the second subspace. | 07-23-2009 |
20100067060 | POPULATING MULTIDIMENSIONAL LOOK-UP TABLES WITH MISSING VALUES - Values at nodes of a LUT which is arranged as a rectangular grid of cells are populated, wherein the populated values model an underlying process that transforms from a first color space to a second color space, and some of the cells of the LUT are completely inside a constraint boundary of the underlying process and some of the cells are not completely inside the constraint boundary. The cells are indexed in a certain order. Samples of the underlying process are accessed. Values of nodes for cells whose nodes are all within the constraint boundary are populated first by using the samples of the underlying process. Values of nodes for cells whose nodes are not all within the constraint boundary are populated second by visiting such cells in the indexed order and populating values for the unpopulated nodes using populated ones of the nodes of such cells and the accessed samples. | 03-18-2010 |
20100085586 | Target for color characterization of color printer - With respect to color characterization of color printers, the present disclosure relates to the identification of colorant combinations for color patches in a color characterization target, which contains different color patches, and which is measured calorimetrically or spectrally to color-characterize the printer. A black ramp is printed and measured. Substantially uniform steps on the ramp are selected by applying principal component analysis to the measured values or color values derived from the measured values, and by using a first principal component thereof to select the substantially uniform steps. For each of the substantially uniform steps identified, the above procedure is repeated on all chromatic ramps with black ink at a corresponding black level. Color values of the color patches are populated by using multiple combinations of the substantially uniform steps of the black channel and of the chromatic channels at the corresponding black levels that meet an ink limit. | 04-08-2010 |
20100104179 | NUMERICALLY ROBUST IMPLEMENTATION OF SPECTRAL GAMUT MAPPING - Color management in which gamut mapping is performed in a spectral color space. The gamut mapping process includes a calorimetric gamut mapping step, in which a calorimetric projection of the source-side color is gamut-mapped into a calorimetric projection of the destination side's spectral gamut. To ensure that the resulting gamut-mapped calorimetric color can be inverted into a set of feasible points in the spectral gamut, an additional step is inserted into the gamut-mapping process. Specifically, a further projection is made of the gamut-mapped calorimetric projection, whereby the calorimetric color is projected onto within the numerical boundary of the calorimetric projection of the destination side's spectral gamut. This additional projection yields a numerically robust color space color, that largely avoids adverse effects that otherwise might be caused by “numerical voids” found in the floating point representation of numbers by digital computers. | 04-29-2010 |
20100277493 | FAST GAMUT CHECKING AND INVERSION OF SPECTRAL COLORS - Color management using a discrete spectral gamut descriptor. A multi-spectral color image is converted to a spectrally-based ICS representation. In response to a determination that an ICS value is included in a discrete spectral gamut descriptor, the ICS value is converted into a destination-side color. Otherwise, the ICS color value is spectrally gamut mapped, and the gamut-mapped ICS value is converted into a destination-side color. The discrete spectral gamut descriptor includes a collection of discrete cells of a subdivided bounding box that includes a set of sample points in the ICS that span the spectral gamut of the destination device. Each cell has an attribute that represents an initial guess for a destination-side color for ICS values included in the cell, and the attribute is used to convert ICS values included in the cell into destination-side colors. | 11-04-2010 |
20100277752 | CONSTRUCTING SPECTRAL GAMUT BOUNDARY DESCRIPTORS - Color management in which a spectrally-based ICS color value is spectrally gamut mapped onto a spectral gamut of a destination device using a simplified Gamut Boundary Descriptor (GBD) that represents the spectral gamut of the destination device, and the gamut-mapped ICS value is converted into a destination-side color. The simplified GBD is constructed by generating sample points that span the spectral gamut of the destination device, forming a full spectral GBD by applying a hulling algorithm to the sample points, identifying sample points that are vertices of the full GBD of the spectral gamut, partitioning the vertices of the full GBD into clusters, such that the clusters are at least at a certain threshold distance apart, choosing a representative sample point from each cluster, and forming the simplified GBD by applying the hulling algorithm to the representative sample points from each cluster. | 11-04-2010 |
20100328356 | RENDERING MULTISPECTRAL IMAGES ON REFLECTIVE DISPLAYS - Image display which accesses an image containing multispectral data and a spectral device model for a reflective display. The reflective display renders the image by modulation of an ambient illuminant and is driven by color primary signals for corresponding color primaries. A spectral power distribution of a direct irradiance of a current ambient illuminant is cyclically and repetitively estimated by using a measurement of the spectral power distribution of the direct irradiance of the current ambient illuminant. Color primary signals are determined by using the estimation of the spectral power distribution of the direct irradiance of the current ambient illuminant, the spectral device model, and the multispectral image data. The reflective display is driven by the determined color primary signals, such that the multispectral image data rendered on the reflective display simulates the appearance of the multispectral image data calorimetrically under the current ambient illuminant. | 12-30-2010 |
20110033108 | PERFORMING SPECTRAL GAMUT MAPPING FOR REPRODUCING AN IMAGE - Spectral gamut mapping is performed for reproducing an image comprising a plurality of pixels using a device. Sample data is generated to span a spectral gamut of the device, the sample data is divided into plural subdivisions based on colorimetry of the sample data, a local interim connection space (ICS) is constructed for each of the plural subdivisions, and a sub-gamut is constructed corresponding to each of the local ICS's. For each of the plurality of pixels, a sub-gamut which corresponds to the pixel is selected from the constructed sub-gamuts, and spectral gamut mapping is performed for the pixel using the selected sub-gamut in the local ICS. | 02-10-2011 |
20110122426 | SPECTRAL GAMUT MAPPING BY CONSTRAINED SUBDIVISION OF GAMUT - Color management in which a spectral gamut is determined for spectral gamut mapping by constructing subdivisions of a set of samples spanning the spectral gamut. The samples are designated by specifying device values and are subdivided based on their lightness, chroma and hue under a reference illuminant such that the number of samples in each subdivision is limited by a predetermined number. A color value to be spectrally gamut mapped is accepted, and converted into a colorimetric value under the reference illuminant. The converted colorimetric value includes a lightness, a chroma and a hue. Subdivisions within a tolerance of the converted colorimetric value are identified using its lightness, chroma and hue. Samples within the identified subdivisions are searched to find a sample that matches acceptably to the color value relative to an objective function. | 05-26-2011 |
20110141104 | STEREOSCOPIC COLOR MANAGEMENT - Stereoscopic color management of images with plural views. Image data for each view is defined in a component input device color space. Image data in the component input device color spaces is converted to a nominal source color space using plural input transforms each corresponding to one of the plural views. A rendering transform is used to convert image data for each view in the nominal source color space to a nominal destination color space. The nominal source color space, nominal destination color space and rendering transform are the same for all views. The image data for each view in the nominal destination color space is ultimately converted to a component output device color space associated with a stereoscopic output device respective of the view using a respective output transform. | 06-16-2011 |
20110149307 | SELECTION OF SAMPLES FOR SPANNING A SPECTRAL GAMUT - Determining a spectral gamut of a device by designating a spanning set of samples which span the spectral gamut. A first crude spanning set of samples is established by specifying one or more corresponding device values in a device color space. The first crude spanning set is refined by processing a plurality of new samples in a predetermined order. The processing includes, for each new sample, determining if the new sample differs in an objective function value by more than a predetermined threshold from all samples in the first crude spanning set and adding the new sample to the first crude spanning set if the new sample differs in the objective function value by more than the predetermined threshold. The resulting first crude spanning set is designated as the spanning set of samples. | 06-23-2011 |
20110261169 | COLOR MANAGEMENT OF AUTOSTEREOSCOPIC 3D DISPLAYS - Color correction of an autostereoscopic color display capable of displaying multiple views of one scene. Multiple viewing regions of the autostereoscopic color display are identified. The multiple viewing regions together comprise the whole of an operating viewing zone for the autostereoscopic color display. A respective plurality of color correction LUTs are constructed. At least one color correction LUT is constructed for each different viewing region. Color correction LUTs corresponding to current viewing regions are selected based on information regarding viewer location. The selected color correction LUTs are applied to the autostereoscopic color display. | 10-27-2011 |
20120019694 | RECORDING SUCCESSIVE FRAMES OF RAW SENSOR DATA DEPICTING A MOVING SCENE - The recording of successive frames of raw sensor data depicting a moving scene is provided. The raw sensor data comprises pixel data for an image sensor having pixels arranged in correspondence to a mosaic of plural different colors in a color filter array. A first sampling mosaic pattern for sampling the pixel data at a first resolution is designated. A second sampling mosaic pattern for sampling the pixel data at a second resolution which is lower than the first resolution is designated. One of the first or the second sampling mosaic patterns is selected for a frame by applying a predetermined rule. Pixel data of the frame is sampled using the selected sampling mosaic pattern. The sampled pixel data for the frame is recorded onto a recording medium. | 01-26-2012 |
20120070080 | COLOR CORRECTION FOR DIGITAL IMAGES - Colors in a color image are transformed by a destination device. The color image comprises pixels with color information. A depth map corresponding to the color image is accessed. The depth map comprises depth information for the color image and indicates the relative position of objects in the color image from a reference point of view. A collection of plural different color transforms is accessed. In addition, a depth value for a target pixel in the color image is determined by using the depth map. There is a selection of a color transform for the target pixel from the collection of plural different color transforms, based on the depth value determined for the target pixel. The selected color transform is applied to the color information of the target pixel by the destination device. | 03-22-2012 |
20120070082 | COLOR CORRECTION FOR DIGITAL IMAGES - Colors in a color image are transformed by a destination device. The color image comprises pixels with color information. A depth map corresponding to the color image is accessed. The depth map comprises depth information for the color image and indicates the relative position of objects in the color image from a reference point of view. A collection of plural different color transforms is accessed. In addition, a depth value for a target pixel in the color image is determined by using the depth map. There is a selection of a color transform for the target pixel from the collection of plural different color transforms, based on the depth value determined for the target pixel. The selected color transform is applied to the color information of the target pixel by the destination device. | 03-22-2012 |
20130064465 | IMAGE COMPRESSION AND DECOMPRESSION FOR IMAGE MATTING - Encoding image data and mask information to be used for matte images and for image and video matting. Image data and mask information for pixels of the image data in a first representation domain are accessed. The mask information defines background pixels and foreground pixels. The image data in the first representation domain is transformed to a second representation domain. Mask information in the second representation domain is determined by using the mask information in the first representation domain. The image data in the second representation domain is masked by setting image data to zero for background pixels as defined by the determined mask information in the second representation domain. The masked image data in the second representation domain is encoded. Decoding the encoded image data by accessing the encoded image data, decoding the masked image data in the second representation domain, and transforming the masked image data in the second representation domain to the first representation domain to obtain the decoded image data. | 03-14-2013 |
20130093928 | RECORDING SUCCESSIVE FRAMES OF RAW SENSOR DATA DEPICTING A MOVING SCENE - The recording of successive frames of raw sensor data depicting a moving scene is provided. The raw sensor data comprises pixel data for an image sensor having pixels arranged in correspondence to a mosaic of plural different colors in a color filter array. A first sampling mosaic pattern for sampling the pixel data at a first resolution is designated. A second sampling mosaic pattern for sampling the pixel data at a second resolution which is lower than the first resolution is designated. One of the first or the second sampling mosaic patterns is selected for a frame by applying a predetermined rule. Pixel data of the frame is sampled using the selected sampling mosaic pattern. The sampled pixel data for the frame is recorded onto a recording medium. | 04-18-2013 |
20130129245 | COMPRESSION OF IMAGE DATA - Compression of image data is provided. Image data is accessed, along with depth information for pixels of an image. A distance from a region of focus for pixels of the image is determined, by calculations that use the depth information. A bit rate for compression of the image data is controlled in accordance with the distance from the region of focus, such that more bits are used for pixels closer to the region of focus and fewer bits are used for pixels farther from the region of focus. | 05-23-2013 |
20130222582 | SYSTEMS AND METHODS FOR COMPRESSIVE LIGHT SENSING USING MULTIPLE SPATIAL LIGHT MODULATORS - Systems and methods for capturing light field information including spatial and angular information using an image pickup device that includes an image sensor and at least one spatial light modulator (SLM) take multiple captures of a scene using the at least one SLM to obtain coded projections of a light field of the scene, wherein each capture is taken using at least one pattern on the at least one SLM, and recover light field data using a reconstruction process on the obtained coded projections of the light field. | 08-29-2013 |
20130250062 | STEREOSCOPIC IMAGE CAPTURE - Stereoscopic image capture is provided. A blur value expected for multiple pixels in left and right images is predicted. The blur value is predicted based on designated capture settings. A disparity value expected for multiple pixels in the left and right images is predicted. The disparity value is predicted based on the designated capture settings. Stressed pixels are identified by comparing the predicted disparity value to a lower bound of disparity value determined from the predicted blur value using a predetermined model. A pixel with predicted disparity value less than the lower bound is identified as a stressed pixel. The predicted disparity is adjusted by modifying the designated capture settings to reduce the number of stressed pixels, or an alert to the presence of stressed pixels is given to the user. | 09-26-2013 |
20140028800 | Multispectral Binary Coded Projection - Illumination of an object with spectral structured light, and spectral measurement of light reflected therefrom, for purposes which include derivation of a three-dimensional (3D) measurement of the object, such as depth and/or contours of the object, and/or for purposes which include measurement of a material property of the object, such as by differentiating between different types of materials. | 01-30-2014 |
20140028801 | Multispectral Binary Coded Projection - Illumination of an object with spectral structured light, and spectral measurement of light reflected therefrom, for purposes which include derivation of a three-dimensional (3D) measurement of the object, such as depth and/or contours of the object, and/or for purposes which include measurement of a material property of the object, such as by differentiating between different types of materials. | 01-30-2014 |
20140049779 | DETERMINING MATERIAL PROPERTIES USING SPECKLE STATISTICS - A property of a material is determined. The material is illuminated with a light beam of controlled spectral and coherence properties. A stack of speckle field images is recorded from speckle fields reflected from the illuminated material in multiple spectral channels. The stack of speckle field images includes multiple speckle field images each being recorded in a respectively different spectral channel. Statistical properties of the speckle field images in the stack of speckle field images are analyzed to determine at least one property of the illuminated material. | 02-20-2014 |
20140055775 | MATERIAL IDENTIFICATION AND DISCRIMINATION - A material is illuminated with one or more light sources including at least one light source which emits light of controlled coherence properties. Both of a spectral characteristic and a speckle statistic are derived using light reflected from the illuminated material. The spectral characteristic and the speckle statistic are compared against plural entries in a database. Each entry in the database correlates the identity of a material against a corresponding spectral characteristic and a corresponding speckle statistic for the material. At least one candidate for the identity of the illuminated material is determined based at least in part on the comparison. | 02-27-2014 |
20140055792 | ESTIMATING MATERIAL PROPERTIES USING SPECKLE STATISTICS - A surface roughness value and a sub-surface scattering property of a material are estimated. The material is illuminated with a light beam with controlled coherence properties at multiple incident angles. Multiple speckle patterns are recorded, each speckle pattern being recorded for a respective one of the multiple incident angles. Both of a surface roughness value and a sub-surface scattering property of the material are estimated by calculations using the multiple speckle patterns and the incident angle for each such speckle pattern. | 02-27-2014 |
20140341436 | CLASSIFYING MATERIALS USING TEXTURE - An unknown material is classified using texture. A database of predetermined images is accessed, each of a known material and each captured at a magnification factor that is relatively high. A query image of the unknown material is received. The query image is captured at a second magnification factor that is relatively lower than the magnification factors of the predetermined images. A collection of images of the known materials is dynamically generated at the second magnification factor. The received query image is matched against the dynamically generated collection of images, and the unknown material is classified in correspondence to a match between the received image and the dynamically generated collection of images. | 11-20-2014 |
20150015887 | FEATURE VECTOR FOR CLASSIFYING SPECULAR OBJECTS BASED ON MATERIAL TYPE - Material classification for a sample fabricated from an unknown material, particularly a specular sample such as a metallic sample fabricated from an unknown metal. A measurement is obtained of a specular reflection of the sample at at least one observation angle and in at least two spectral bands including first and second spectral bands; a feature vector is calculated using a homogeneous function that combines the measured specular reflections in the first and second spectral bands; and the sample is classified based on the feature vector. The homogeneous function may include a ratio of values of the first and second spectral bands of the measured specular reflections, and the feature vector may be based on a histogram of such ratio values. Classification may include determining a distance between the feature vector of the sample and a feature vector of a reference sample in a predetermined database of labeled samples. | 01-15-2015 |
20150016711 | DEVICES, SYSTEMS, AND METHODS FOR CLASSIFYING MATERIALS BASED ON A BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION - Systems, devices, and methods for classifying a sample by material type measure a reflection of a sample at an illumination angle and an observation angle in at least two spectral bands, calculate a feature value for the sample based on an estimated ratio value of the at least two spectral bands of the measured reflection, and classify the sample based on the feature value. | 01-15-2015 |
20150070703 | MATERIAL CLASSIFICATION - The present disclosure relates to classification of a material type of an unknown material. The material type is classified into a probability distribution of multiple predetermined material types by using a collection of plural predetermined material classifiers. Each material type of the multiple predetermined material types is associated with a corresponding best performing classifier from the collection of plural predetermined material classifiers by a predesignated stored association. The plural material classifiers are applied to the unknown material to obtain a list of candidate material types. A list of potential best performing classifiers is looked up using the list of candidate material types as a reference into the predesignated stored association. A respective probability that the unknown material belongs to a material type is assigned based on the list of potential best performing classifiers. | 03-12-2015 |