Apparatus and method for objective assessment of DCT-coded...

Details Apparatus and method for objective assessment of DCT-coded... Apparatus and method for objective assessment of DCT-coded...

2006-03-24

2010-02-23

Mariam, Daniel G (Department: 2624)

Image analysis

Image enhancement or restoration

Artifact removal or suppression

C382S232000

Reexamination Certificate

active

07668397

ABSTRACT:
A new approach to objective quality assessment of DCT-coded video sequences, with or without a reference is proposed. The system is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis. The methods mimic function of the human visual system (HVS): A neural network training algorithm is used for determining the optimal network weights and biases for both system modes of operation. The proposed method allows for assessment of DCT-coded video sequences without the original source being available (pseudo-reference mode). The pseudo-reference mode is also comprised of a proprietary DCT-coded video (MPEG) noise reducer (MNR), co-pending patent application No. 60/592,143.

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Tektronix “Picture Quality Testing”, www.tek.com, pp. 1-11, Oct. 4, 2003.

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