DWT-based up-sampling algorithm suitable for image display in an LCD panel

Claim 1

A method comprising: constructing virtual Discrete Wavelet Transform (DWT) sub-bands from an image by approximation without performing a DWT, wherein a virtual LL sub-band is approximated to an original image pixel width and height dimensions without reduction; applying an inverse DWT upon said virtual sub-bands, the result of said inverse DWT representing an up-sampled version of said image, said up-sampled version of said image having increased pixel width and height dimensions of said original image.

Claim 2

A method comprising: constructing virtual Discrete Wavelet Transform (DWT) sub-bands from an image by approximation without performing a DWT, wherein a virtual LL sub-band is approximated to an original image pixel width and height dimensions without reduction; applying an inverse DWT upon said virtual sub-bands, the result of said inverse DWT representing an up-sampled version of said image, said up-sampled version of said image having increased pixel width and height dimensions of said original image.

Claim 9

An apparatus comprising: an interface to communicate image data; and an up-sampling unit, said up-sampling unit coupled to said interface to receive said image data, said up-sampling unit constructiog virtual sub-band input data from said image data by approximation, wherein an LL sub-band is approximated to original image pixel width and height dimensions without reduction, said up-sampling unit performing an inverse Discrete Wavelet Transform (DWT) upon said input data generating an up-sampled image therefrom, said up-sampled image having increased pixel width and height dimensions of said original image; and an adder coupled to a processing cell to receive and selectively add said intermediate output.

Claim 10

An apparatus comprising: an interface to communicate image data; and an up-sampling unit, said up-sampling unit coupled to said interface to receive said image data, said up-sampling unit constructiog virtual sub-band input data from said image data by approximation, wherein an LL sub-band is approximated to original image pixel width and height dimensions without reduction, said up-sampling unit performing an inverse Discrete Wavelet Transform (DWT) upon said input data generating an up-sampled image therefrom, said up-sampled image having increased pixel width and height dimensions of said original image; and an adder coupled to a processing cell to receive and selectively add said intermediate output.

Claim 24

A method comprising: constructing virtual Discrete Wavelet Transform (DWT) sub-bands from an image by approximation without performing a DWT, wherein a virtual LL sub-band is approximated to original image dimension in pixels without reduction, wherein said virtual sub-bands include said LL sub-band, an HL sub-band, an LH sub-band and an HH sub-band; and applying an inverse DWT upon said virtual sub-bands, the result of said inverse DWT representing an up-sampled version of said image, wherein said inverse DWT performed is a two-dimensional inverse DWT, performing said two-dimensional inverse DWT further comprises: applying a one-dimensional inverse DWT to said virtual sub-bands in a row-wise fashion; transposing said data resulting from said first DWT such that columns become rows and rows become columns; and applying again said one-dimensional inverse DWT to said transposed data, the result of applying said one-dimensional inverse DWT to said transpose data being up-scaled image data.

Claim 25

A method comprising: constructing virtual Discrete Wavelet Transform (DWT) sub-bands from an image by approximation without performing a DWT, wherein a virtual LL sub-band is approximated to original image dimension in pixels without reduction, wherein said virtual sub-bands include said LL sub-band, an HL sub-band, an LH sub-band and an HH sub-band; and applying an inverse DWT upon said virtual sub-bands, the result of said inverse DWT representing an up-sampled version of said image, wherein said inverse DWT performed is a two-dimensional inverse DWT, performing said two-dimensional inverse DWT further comprises: applying a one-dimensional inverse DWT to said virtual sub-bands in a row-wise fashion; transposing said data resulting from said first DWT such that columns become rows and rows become columns; and applying again said one-dimensional inverse DWT to said transposed data, the result of applying said one-dimensional inverse DWT to said transpose data being up-scaled image data.

Claim 29

An apparatus comprising: an interface communicating image data; and an up-sampling unit, said up-sampling unit coupled to said interface to receive said image data, said up-sampling unit constructing virtual sub-band input data from said image data by approximation, wherein an LL sub-band is approximated to original image dimension in pixels without reduction, said up-sampling unit configured to perform an inverse Discrete Wavelet Transform (DWT) upon said input data generating an up-sampled image therefrom; and an adder coupled to a processing cell to receive and selectively add intermediate outputs; wherein said up-sampling unit comprises: a first up-sampled data output generation; and a second up-sampled data output generation, said first and second output generators providing their respective outputs in an alternating fashion, said first generation and said second generation each comprise: a plurality of processing cells, each processing cell capable of generating an intermediate inverse DWT output from said input data; and an adder coupled to said processing cell to receive and selectively add said intermediate outputs, each said output generation comprises: delay elements selectively coupled to said processing cells, said delay elements delaying selectively outputs to said processing cells.

Claim 30

An apparatus comprising: an interface communicating image data; and an up-sampling unit, said up-sampling unit coupled to said interface to receive said image data, said up-sampling unit constructing virtual sub-band input data from said image data by approximation, wherein an LL sub-band is approximated to original image dimension in pixels without reduction, said up-sampling unit configured to perform an inverse Discrete Wavelet Transform (DWT) upon said input data generating an up-sampled image therefrom; and an adder coupled to a processing cell to receive and selectively add intermediate outputs; wherein said up-sampling unit comprises: a first up-sampled data output generation; and a second up-sampled data output generation, said first and second output generators providing their respective outputs in an alternating fashion, said first generation and said second generation each comprise: a plurality of processing cells, each processing cell capable of generating an intermediate inverse DWT output from said input data; and an adder coupled to said processing cell to receive and selectively add said intermediate outputs, each said output generation comprises: delay elements selectively coupled to said processing cells, said delay elements delaying selectively outputs to said processing cells.