Microsoft Technology Licensing, LLC

Micorsoft Corpration

Adrian Secchia

Michael Dean Stokes

Gregory David Swedberg

Cyra S Richardson

Kerry Hammil

Ashraf A Michail

Kun Zhou

Gilman Kuey Wong

Michael David Marr

Leonardo Esteban Blanco

Greg D Schechter

Hock San Lee

James Frederick Blinn

Jevan D Saks

Ian Hanschen

Andrey E Arsov

Andrew C Godfrey

Christopher A Fortier

A method and system for allowing a computer system platform the ability to intervene in the content workflow and perform additional color management based upon the content state and any color management policies in place is provided. Profile data from a source is converted to an intermediate color space upon entry into the platform at a choke point. In response to the current color content, profile data, and/or policy controls of the platform, color management input can be managed to change color management data immediately, change color management data at a later point, and/or ignore color management data.

Color management system that enables dynamic balancing of performance with flexibility

Described is a pluggable policy component that determines the look and feel, or windows visual experience, of a computer user interface. Window-related instructions are redirected to the policy component, while client area change instructions are provided to a substrate (into which the policy component plugs in) that includes a composition component. The plug-in policy component handles windows-related (e.g., structural or attribute) changes to a scene graph to construct and maintain the scene graph, while the substrate handles program content changes to the client areas within windows. The substrate may include a desktop window manager that has access to the client areas in the scene graph, whereby the desktop window manager can copy a client area for rendering. For example, the desktop window manager can provide a supplemental live thumbnail image of a window.

Pluggable window manager architecture using a scene graph system

In order to render a primitive, the primitive is subdivided into trapezoids and triangles. The subdivision occurs using scanline-aligned lines. These simple scanline-aligned regions are further subdivided so that the primitive is divided into simple scanline-boundaried trapezoids and other complex scan shapes. The simple scanline-boundaried trapezoids are rasterized. One rasterization method uses a texture map containing slope-based coverage information to edge areas. Gouraud shading may be used to provide the anti-aliasing effects on the scanline-boundaried trapezoids. The simple scanline-boundaried trapezoids may also be rasterized using a software rasterizer. Complex scans are rasterized using a software rasterizer. As data is already rasterized, it is thereby efficiently transferred to the GPU.

Hardware-accelerated anti-aliased vector graphics

Systems and methods are provided for color management in connection with a variety of computing devices having different color display characteristics. The X11 graphics platform is augmented to support color management systems, such as ICC, sRGB and scRGB, which begin and end with device dependent colors. CMYK color spaces as well as extended RGB color spaces within X11r6 are also supported, thus extending the X11r6 graphics platform to support any modem color management standard.

Systems and methods for providing color management

Hardware-accelerated anti-aliased graphics

An optimal filter kernel, formed by convolving a box filter with a filter of fixed integer width and unity area, is used to perform image resizing and reconstruction. The optimal filter has forced zeros at locations along a frequency scale corresponding to the reciprocal of the spacing of one or more pixels that comprise a source image to be resized. When a rescale value for a source image is selected, the optimal filter kernel is computed, mapped to the source image, and centered upon a location within the source image corresponding to the position of an output pixel to be generated. The number of pixels that lie underneath the optimal filter kernel is established by multiplying the number of pixels that comprise the width of the source image by the selected rescale value. Upon mapping the optimal filter kernel, the output pixel values that comprise the resized image are then evaluated by processing the one or more source image pixels, such as through interpolation. Alternatively, the output pixel values of the resized image are calculated by performing partial integral analysis with respect to a standard filter kernel of fixed width and unity area. The output pixel values are calculated by multiplying the pixel value for each pixel under the kernel by the area of the standard filter kernel surrounding the pixel. The products are then summed to reveal the output pixel value, and placed into the output image buffer. Both of these methods speed up the computation process, while producing a ripple free output image.

Generating resized images using ripple free image filtering

A system and method converts input color data in different formats into a working color space. In the case that the input data includes a device color profile and the desired working color space is an RGB space, gamma information of the input data may be extracted from the color profile. In a Simplified extraction process, the gamma information may be extracted by combining one-dimensional LUTs in the profile in a gray-scale conversion to form a gamma table. When the color profile is a more complex profile, such as one of the regular ICC profile format, a full extraction process may be used, in which gamma information is derived from each of the front end, middle and back end portions of the profile. The derived gamma information may then be combined to provide a final gamma table.

System and method for converting color data

A system and method for recoloring color objects selectively applies color processing operations in a particular pipelined sequence to offer improved performance and quality of color processing. The recoloring sequence includes a transformation by a 5&times;5 matrix that handles various types of transformations in the color space of the color object, a gamma correction, a bi-level thresholding operation, and a conversion into a color space, such as the CMYK space, for an output device. Each of these operations in the recoloring sequence may be selectively activated or deactivated depending on the attributes of the color object being processed and the desired recoloring effects. The transformation with the 5&times;5 matrix allows various transformation operations, such as rotation, scaling, translation, shearing, and perspective in the color space of the color object to be combined and performed in a single step, resulting in significantly improved processing efficiency.

System and method for performing a recoloring operation sequence on color objects

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Bellevue, WA, United States of America

Adrian Secchia