Scaling of multi-dimensional data in a hybrid domain

Details Scaling of multi-dimensional data in a hybrid domain Scaling of multi-dimensional data in a hybrid domain

2005-01-04

2005-01-04

Wu, Jingge (Department: 2623)

Image analysis

Image compression or coding

Transform coding

C382S277000, C382S298000

Reexamination Certificate

active

06839468

ABSTRACT:
A method, system, and data structure for the scaling of data is provided. An exemplary use of the disclosed embodiments involves the scaling up in size or the scaling down in size of computer images. n-dimensional transformed data representing some original n-dimensional real data is received. An m-dimensional inverse transform on the n-dimensional transformed data is performed to produce hybrid data, where 1≦m<n. The hybrid data is scaled in p dimensions to produce scaled hybrid data representing a desired p-dimensional change in the n-dimensional real data where p≦m. Finally, an m-dimensional forward transform is performed on the scaled hybrid data to produce n-dimensional scaled transformed data.

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U.S. patent application Ser. No. 09/570,382, filed May 12, 2000 entitled “Method and Apparatus for Scaling up of Data”.

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