Stmicroelectronics S.r.l.

Stmicroelectronics Gmbh

Pierluigi Gardella

Danilo Pietro Pau

Massimiliano Barone

Edoardo Gallizio

Daniele Lavigna

Fabrizio Simone Rovati

Andrea Lorenzo Vitali

Daniele Alfonso

Daniele Sirtori

Simon Goda

Stephen Hill

Gary Sweet

Mathieu Robart

Gary James Sweet

Stephen Adrian Hill

Simon James Goda

A system renders a primitive of an image to be displayed, for instance in a mobile 3D graphic pipeline, the primitive including a set of pixels. The system locates the pixels in the area of the primitive, generates, for each pixel located in the area, a set of associated sub-pixels, borrows a set of sub-pixels from neighboring pixels, subjects the set of associated sub-pixels and the borrowed set of pixels to adaptive filtering to create an adaptively filtered set of sub-pixels, and further filters the adaptively filtered set of sub-pixels to compute a final pixel for display. Preferably, the set of associated sub-pixels fulfills at least one of the following: the set includes two associated sub-pixels and the set includes associated sub-pixels placed on pixel edges.

Method and system for signal processing, for instance for mobile 3D graphic pipelines, and computer program product therefor

A system renders a primitive of an image to be displayed, for instance in a mobile 3D graphic pipeline, the primitive including a set of pixels. The system locates the pixels in the area of the primitive, generates, for each pixel located in the area, a set of associated sub-pixels, borrows a set of sub-pixels from neighboring pixels, subjects the set of associated sub-pixels and the borrowed set of pixels to adaptive filtering to create an adaptively filtered set of sub-pixels, and further filters the adaptively filtered set of sub-pixels to compute a final pixel for display. Preferably, the set of associated sub-pixels fulfils at least one of the following: the set includes two associated sub-pixels and the set includes associated sub-pixels placed on pixel edges.

A method for texture compressing images having a plurality of color components (R, G, B) includes defining color representatives for use in encoding by defining groups of colors for each color component (R,G,B), and selecting a representative median color for the group. Each group ideally includes 3 to 15 increasing colors. The method includes computing, for each group, an error between each member of the group and the representative median color of the group. Typically, the error is computed as the sum of the absolute differences (SAD) between each member of the group and the representative median color of the group.

Methods and apparatus for texture compression and computer program product therefor

A method for texture compressing images having a plurality of color components (R, G, B), includes decomposing the images in sub-blocks each including only one color component. At least one first predictor is defined for each sub-block and a respective set of prediction differences is computed for each sub-block. Then the prediction differences for each sub-block are sorted, and a look-up prediction differences palette is set up by defining a look-up prediction error palette. A predetermined code is associated with each column of the error palette.

A geometric processing stage for a pipelined engine for processing video signals and generating processed video signal in space coordinates (S) adapted for display on a screen. The geometric processing stage includes: a model view module for generating projection coordinates of primitives of the video signals in a view space, said primitives including visible and non-visible primitives, a back face culling module arranged downstream of the model view module for at least partially eliminating the non visible primitives, a projection transform module for transforming the coordinates of the video signals from view space coordinates into normalized projection coordinates (P), and a perspective divide module for transforming the coordinates of the video signals from normalized projection (P) coordinates into screen space coordinates (S). The back face culling module is arranged downstream the projection transform module and operates on normalized projection (P) coordinates of said primitives. The perspective divide module is arranged downstream the back face culling module for transforming the coordinates of the video signals from normalized projection (P) coordinates into screen space coordinates (S). A circuit in the back face culling module can be shared with a standard three dimension back face culling operation when necessary. An application is in graphic engines using standard graphics language like OpenGL and NokiaGL.

Geometric processing stage for a pipelined graphic engine, corresponding method and computer program product therefor

A process for realizing an estimate of global motion based on a sequence of subsequent video images, such as those received via an optical mouse (M) for the purposes of detecting its movement. Subsequent video images are represented by digital signals arranged in frames and for each estimate of a frame with respect to another, the procedure provides operations for choosing, from amongst a series of vectors originating from linear combinations of motion vectors resulting from estimates of previous frames and/or constant vectors, a vector considered as the best match for estimating the motion occurring between the two frames, the said selection operation in turn including the operations of performing a virtual overlay of the two frames to be compared (T, T&#x2212;1) mutually offset both horizontally and vertically by amounts identified by the motion vector subjected to testing, applying a selective grid of pixels to be subjected to testing, and calculating, for all pixels selected via the grid, a cost function to determine the effectiveness of the predictor, identifying the vector with the lowest cost function value as the best for the purposes of estimation.

Growing community of inventors

Montanaso Lombardo, Italy

Pierluigi Gardella