Moment Forms Invariant to Rotation and Blur in Arbitrary Number of Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Features Invariant Simultaneously to Convolution and Affine Transformation
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Recognition of the blurred image by complex moment invariants
Pattern Recognition Letters
Image reconstruction from a complete set of similarity invariants extracted from complex moments
Pattern Recognition Letters
Extension of Moment Features' Invariance to Blur
Journal of Mathematical Imaging and Vision
A Method for Blur and Affine Invariant Object Recognition Using Phase-Only Bispectrum
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Object recognition using frequency domain blur invariant features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Space-variant restoration with sliding discrete cosine transform
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Blurred image recognition by Legendre moment invariants
IEEE Transactions on Image Processing
Mean shift based gradient vector flow for image segmentation
Computer Vision and Image Understanding
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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