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A new auto-regressive (AR) model-based algorithm for motion picture restoration

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3 Author(s)
S. Kalra ; Sch. of Appl. Sci., Nanyang Technol. Inst., Singapore ; M. N. Chong ; D. Krishnan

This paper proposes a new AR model-based restoration algorithm which is able to suppress mixed noise processes and recover lost signals in an image sequence. A drawback of an AR model is the limiting size of the block (of pixels) that can be adequately modeled. Using a single set of AR coefficients to restore a large region of missing data will result in a homogenized texture region. In order to overcome this inherent limitation of the AR model, a block-based divide-and-conquer approach is proposed. In addition, a new Gaussian weighting scheme is used to better estimate the AR coefficients for the interpolation process

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:4 )

Date of Conference:

21-24 Apr 1997