Method, system, and program for fractionally shifting data subject to a previous transformation

a technology of fractional shifting and data subject, applied in the field of method, system and program for fractional shifting data subject to a previous transformation, can solve the problem that luminance information may not be removed at the same rate as chrominance data

Inactive Publication Date: 2003-08-14
IBM CORP
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present technology allows for more efficient use of digital images during compression compared with traditional methods like JPEG or GIF formats that require complex computations before being restored into their native form after decompression. This makes it possible to compress high resolution video content faster than current technologies such as MUSE or LZW method.

Problems solved by technology

Technologies aim to reduce complexity when converting colors captured through imagery onto another medium without losing any important detail about them during transformation processes like deinterlaced scanning. Prior attempts were either performed based upon grayscale representation or binary mapping coefficients, leading to errors if these transformations happened simultaneously due to differences in resolution capabilities. There was proposed various technical solutions involving interpolation filters instead of linear interpolations. These approaches resulted in better results compared to traditional methodology.

Method used

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  • Method, system, and program for fractionally shifting data subject to a previous transformation
  • Method, system, and program for fractionally shifting data subject to a previous transformation
  • Method, system, and program for fractionally shifting data subject to a previous transformation

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Embodiment Construction

[0013] Provided is a method, system, and program for performing a fractional shift of transformed data. At least one fractional shift transform matrix is provided in non-volatile storage that is capable of fractionally shifting data by a shift factor. The transformed data is received and the at least one fractional shift transform matrix is applied to the transformed data to generate output transformed data that is fractionally shifted by the shift factor without inverse transforming the transformed data.

[0014] In further implementations, the transform is the Forward Discrete Cosine Transform (FDCT).

[0015] In further implementations, the input data stream includes data that has been downsampled and the first transform process performs upsampling on the downsampled data. Still further, the input data stream may comprise an image and the down sampling eliminated data.

[0016] The described implementations provide a technique for fractionally shifting transformed data by a shift factor with

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Abstract

Provided are a method, system and program for fractionally shifting input data subject to a first transform process without first applying an inverse transformation by using a second transform process. The second transform process applies a transformed matrix to the transformed data. At least one transformed matrix is provided in non-volatile storage, wherein each transformed matrix is generated by applying the first transform process to a fractional shift matrix operator. The input data that was transformed using the first transform process is received and the at least one transformed matrix is applied to the transformed input data to generate transformed data that represents fractionally shifted transformed output data.

Description

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Claims

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Application Information

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Owner IBM CORP
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