Method and apparatus for the scaling up of data

Abstract

A method, system, and data structure for the scaling up of data is provided. A block of transformed data samples is received wherein the transformed data samples represent original data samples. One of at least two tables of constants is selected wherein each table of constants is capable of increasing the number of data samples by a different factor. The constants taken from the selected table are applied to the block of transformed data samples to produce at least two blocks of transformed data samples representing at least two blocks of original data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale up factor. Scaling up by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved. In addition, the de-quantization of the quantized transform coefficients may be accomplished by pre-multiplication of the scaling constants when the quantization values are known. In a similar way the re-quantization may be accomplished by a pre-divsion of the scaling constants. Both de-quantization and re-quantization may be combined when the input quantized transform coefficients and output quantized transform coefficients are desired.