Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
Creating a look-up table which converts color image data from a device-independent color space to a device-dependent color space, by determining a range of lightness values corresponding to a lightness value of a target data point in device-independent color space, searching a predetermined set of data points in device-independent color space to obtain a selected set of data points, each selected data point having a lightness value within the determined range of lightness values and having corresponding device-dependent component values within a predetermined tolerance level of the component values of a previously-determined device-dependent data point, performing a weighted interpolation on the device-dependent component values corresponding to the selected set of data points to calculate an interpolated data point which is in device-dependent color space, and entering the interpolated device-dependent data point into a look-up table entry corresponding to the device-independent target data point.
Abstract:
Construction and use of an inner shell for a multi-shelled gamut boundary descriptor (GBD) for a source device based on a predesignated outer shell for the source device, for use in gamut-mapping from the gamut of the source device to a gamut of a destination device. An inner shell and outer shell for the destination device is accessed, and a determination is made of an amount by which the inner shell of the destination device is smaller than the outer shell of the destination device. The inner shell of the source device is thereafter constructed by reducing the outer shell of the source device based at least in part on the amount by which the inner shell of the destination device is smaller than the outer shell thereof. The construction can be performed on the entirety of the GBD or only on parts thereof, such as a hue slice.
Abstract:
The present invention provides for a performing a type of gamut operation for a color device given a color input value, the color device being characterized by a gamut boundary comprising a collection of gamut boundary triangles. Boundary line elements are determined that correspond to a subset of the collection of gamut boundary triangles. The subset of the collection of gamut boundary triangles does not include gamut boundary triangles which are unlikely to yield useful results based on the type of gamut operation and the color input value. Each boundary line element represents a line segment defined by an intersection of one of the gamut boundary triangles within the subset of the collection of gamut boundary triangles with a hue plane, and the hue plane is within the gamut boundary and based on the color input value. In addition, a result is determined for the gamut operation using one or more of the determined boundary line elements. Accordingly, a type of gamut operation is performed using a descriptor which represents the gamut boundary of the color device.
Abstract:
The present invention transforms a device-dependent color value in a device-dependent color space of a display device to a device-independent color value in a device-independent color space. A first color value is determined in a perceptually linear color space by applying a matrix model to the device-dependent color value, the matrix model applying a tone curve correction and a tristimulus matrix to the device-dependent color value. A difference value is then determined in the perceptually linear color space, wherein the difference value is determined by applying a difference model to the device-dependent color value, and wherein the difference model models deviation of the matrix model from actual measurements of the display device. Next, the difference value and the first color value are added and the sum is transformed to the device-independent color space. Because the first value based on the matrix model is added to a difference value which accounts for deviation of the matrix model, the present invention can account for the channel interdependency prevalent in DLP display devices.