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

Author

Kalra, Showbhik ; Chong, M.N. ; Krishnan, Dilip

Author_Institution

Sch. of Appl. Sci., Nanyang Technol. Inst., Singapore

Volume

4

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2557

Abstract

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

Keywords

Gaussian processes; autoregressive processes; image restoration; image segmentation; image sequences; image texture; interpolation; motion compensation; motion estimation; noise; AR coefficients estimation; AR model; Gaussian weighting; autoregressive model based algorithm; block based divide and conquer approach; homogenized texture region; image sequence; interpolation; lost signals recovery; mixed noise process suppression; motion compensation; motion estimation; motion picture restoration; pixels; Bidirectional control; Equations; Image restoration; Low pass filters; Motion estimation; Motion pictures; Parameter estimation; Predictive models; Signal processing; Signal restoration;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.595310

Filename

595310