Image analysis – Image compression or coding – Predictive coding
Reexamination Certificate
2011-03-29
2011-03-29
Alavi, Amir (Department: 2624)
Image analysis
Image compression or coding
Predictive coding
C382S210000
Reexamination Certificate
active
07916958
ABSTRACT:
Image pixel intensity data is transformed to a holographic representation of the image. A subset of the holographic representation is modeled. Model parameters constitute a compressed image representation. A two-dimensional Fourier transform can be applied to obtain the holographic image. Modeling includes applying an analysis portion of an adaptive analysis/synthesis prediction methodology to a subset of the holographic representation. Linear prediction can be the adaptive analysis/synthesis prediction methodology. Prior to modeling, one-dimensional Fourier transform can be performed on the holographic representation and the linear prediction is one-dimensional. Model parameters are preferably quantized. Embodiments include determining error between the model and the model's input data. There the compressed image representation the error, which also can be quantized. The subset of the holographic representation can be less than all the representation. The subset can be a plurality of complete rows; preferably substantially symmetric about 0 Hz.
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Goldstein Jay Scott
Witzgall Hanna Elizabeth
Alavi Amir
King & Spalding LLP
Science Applications International Corporation
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