Abstract: A colour processor for mapping an image from source to destination colour gamuts has an input for receiving a source image including a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different to the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A colour processor for mapping an image from source to destination colour gamuts has an input for receiving a source image including a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different to the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A colour processor for mapping an image from source to destination colour gamuts includes an input for receiving a source image having a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different than the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A colour processor for mapping an image from source to destination colour gamuts includes an input for receiving a source image having a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different than the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A colour processor for mapping an image from source to destination colour gamuts includes an input for receiving a source image having a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different than the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A colour processor for mapping an image from source to destination colour gamuts includes an input for receiving a source image having a plurality of source colour points expressed according to the source gamut; a colour characterizer configured to, for each source colour point in the source image, determine a position of intersection of a curve with the boundary of the destination gamut; and a gamut mapper configured to, for each source colour point in the source image: if the source colour point lies inside the destination gamut, apply a first translation factor to translate the source colour point to a destination colour point within a first range of values; or if the source colour point lies outside the destination gamut, apply a second translation factor, different than the first translation factor, to translate the source colour point to a destination colour point within a second range of values.

Abstract: A method for converting an interlaced video signal to a non-interlaced video signal, comprising, for each pixel in each missing line of a video field in the interlaced video signal: deriving a correlation data set comprising correlation data for each of a plurality of possible interpolation schemes to be used in reconstructing the pixel; dividing each correlation data set into a plurality of correlation data zones; selecting an interpolation scheme from each correlation data zone; reconstructing the pixel using a blend of the selected interpolation schemes, wherein the blend for each pixel subsequent to a first pixel is determined based on the result of a comparison between the selected interpolation schemes and based on the blend used for a preceding pixel.

Abstract: A method for converting an interlaced video signal to a non-interlaced video signal, comprising, for each pixel in each missing line of a video field in the interlaced video signal: deriving a correlation data set comprising correlation data for each of a plurality of possible interpolation schemes to be used in reconstructing the pixel; dividing each correlation data set into a plurality of correlation data zones; selecting an interpolation scheme from each correlation data zone; reconstructing the pixel using a blend of the selected interpolation schemes, wherein the blend for each pixel subsequent to a first pixel is determined based on the result of a comparison between the selected interpolation schemes and based on the blend used for a preceding pixel.

Abstract: A method and apparatus are provided for deriving a progressive scan image from an interlaced image. In this, for each pixel to be inserted in the field from the interlaced image a difference value is derived from each pair of a set of symmetrically opposed pixels with respect to the pixel to be reconstructed and from adjacent lines to the pixel to be reconstructed. A determination is made as to which pair of pixels has the lowest difference value associated with it and the average value of this pixel is selected as a value of the pixel to be inserted.

Abstract: A method and apparatus are provided for converting an interlaced video signal to a progressive scan signal. For each pixel in each missing line of a video field providing correlation data for each of set of possible interpolations between adjacent pixels to the pixel to be reconstructed. A confidence measure is then derived from the correlation data and from that confidence measure the interpolation scheme most likely to produce an accurate missing pixel is determined. The missing pixel is then interpolated using the selected interpolation scheme. In this process, the step of deriving a confidence measure comprises determining the number of maxima and minima in the correlation data and deriving the confidence measure in dependence on the number of maxima and minima so determined.

Abstract: A method and apparatus are provided for converting an interlaced video signal to a progressive scan signal. For each pixel in each missing line of a video field in a video signal to be converted correlation data is derived for each of a set of possible interpolations between adjacent pixels to be used in reconstructing a missing pixel. A confidence measure is derived from the correlation data (28) and adjustment data for correlation data is selected (30). The correlation data is then adjusted with the adjustment data (34) and on the resultant data a determination is made (34) as to which interpolation scheme is most likely to produce an accurate missing pixel. The missing pixel is then interpolated (38) using the selected interpolation scheme.

Abstract: A method and apparatus are provided for converting an interlaced video signal to a non-interlaced video signal. For each pixel in each missing line of a video field in a video signal, correlation data is derived for each of a set of possible interpolations to be used in reconstructing pixels in each missing line (12). A correlation is selected (14) corresponding to the interpolation scheme likely to give the best result for a missing pixel, and an interpolation scheme selected (16) in dependence on the selected correlation. The pixel in the missing line is then interpolated (18). The step of deriving correlation data uses both the field containing the missing line and adjacent fields.

Abstract: A method for generating bump map data substantially in real time for use in a 3-dimensional computer graphics system. Data is received which defines an area to which a texture is to be applied. Texture data to apply to the area is also received. This data includes surface height data. A set of partially overlapping samples of texture data are then filtered and surface tangent vectors derived therefrom. A bump map surface normal is then derived from the tangent vectors.

Abstract: A method and apparatus are provided for removing regularly occurring visible artefacts in decompressed video images. Firstly a decompressed video signal is received. This is filtered frame by frame to extract data related to the artefacts. The thus extracted data is then processed in a neural network processor which has been trained to identify the artefacts in order to produce data identifying their locations. The video signal is then corrected to reduce the effect of the thus identified artefacts.

Abstract: A method and apparatus are provided for deriving a progressive scan image from an interlaced image. In this, for each pixel to be inserted in the field from the interlaced image a difference value is derived from each pair of a set of symmetrically opposed pixels with respect to the pixel to be reconstructed and from adjacent lines to the pixel to be reconstructed. A determination is made as to which pair of pixels has the lowest difference value associated with it and the average value of this pixel is selected as a value of the pixel to be inserted.