Recognition of blurred images by the method of moments

The article is devoted to the feature-based recognition of blurred images acquired by a linear shift-invariant imaging system against an image database. The proposed approach consists of describing images by features that are invariant with respect to blur and recognizing images in the feature space. The PSF identification and image restoration are not required. A set of symmetric blur invariants based on image moments is introduced. A numerical experiment is presented to illustrate the utilization of the invariants for blurred image recognition. Robustness of the features is also briefly discussed.

[1]  D. Gennery.  Determination of optical transfer function by inspection of frequency-domain plot , 1973 .

[2]  T. M. Cannon,et al.  Blind deconvolution through digital signal processing , 1975, Proceedings of the IEEE.

[3]  M. Cannon.  Blind deconvolution of spatially invariant image blurs with phase , 1976 .

[4]  A.K. Jain,et al.  Advances in mathematical models for image processing , 1981, Proceedings of the IEEE.

[5]  A. Murat Tekalp,et al.  Identification of image and blur parameters for the restoration of noncausal blurs , 1986, IEEE Trans. Acoust. Speech Signal Process..

[6]  Reginald L. Lagendijk,et al.  Identification and restoration of noisy blurred images using the expectation-maximization algorithm , 1990, IEEE Trans. Acoust. Speech Signal Process..

[7]  M. Ibrahim Sezan,et al.  Survey of recent developments in digital image restoration. , 1990 .

[8]  A. Murat Tekalp,et al.  Blur identification using the bispectrum , 1991, IEEE Trans. Signal Process..

[9]  A. M. Tekalp,et al.  Maximum likelihood parametric blur identification based on a continuous spatial domain model , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[10]  Russell M. Mersereau,et al.  Blur identification by the method of generalized cross-validation , 1992, IEEE Trans. Image Process..

[11]  Andreas E. Savakis,et al.  Blur identification by residual spectral matching , 1993, IEEE Trans. Image Process..

[12]  Aggelos K. Katsaggelos,et al.  Digital image restoration , 2012, IEEE Signal Process. Mag..