A survey of image registration techniques
ACM Computing Surveys (CSUR)
Moment Forms Invariant to Rotation and Blur in Arbitrary Number of Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new wavelet-based measure of image focus
Pattern Recognition Letters
Combined Invariants to Convolution and Rotation and Their Application to Image Registration
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Features Invariant Simultaneously to Convolution and Affine Transformation
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth Estimation and Image Restoration Using Defocused Stereo Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and normalization of affine deformed image from regular moments
Pattern Recognition Letters
Computer Vision and Image Understanding
Recognition of the blurred image by complex moment invariants
Pattern Recognition Letters
Identification of tuberculosis bacteria based on shape and color
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
A biologically inspired method for estimating 2D high-speed translational motion
Pattern Recognition Letters
Measurement of sinusoidal vibration from motion blurred images
Pattern Recognition Letters
An automatic method for generating affine moment invariants
Pattern Recognition Letters
Bootstrap-based method for occlusion removal in case of multiple sensors
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Extension of Moment Features' Invariance to Blur
Journal of Mathematical Imaging and Vision
Blur Insensitive Texture Classification Using Local Phase Quantization
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
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
Blur and Contrast Invariant Fast Stereo Matching
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Augmented reality based on estimation of defocusing and motion blurring from captured images
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Image Restoration for Quantifying TFT-LCD Defect Levels
IEICE - Transactions on Information and Systems
Morphological preprocessing method to thresholding degraded word images
Pattern Recognition Letters
Weighted DFT Based Blur Invariants for Pattern Recognition
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Bootstrap-based method for occlusion removal in case of multiple sensors
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Architecture for image labelling in real conditions
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Object recognition using frequency domain blur invariant features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Blurred image recognition by Legendre moment invariants
IEEE Transactions on Image Processing
Three dimensional modeling of individual vessels based on matching of adaptive control points
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
3D modeling of the vessels from x-ray angiography
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Blur invariants: A novel representation in the wavelet domain
Pattern Recognition
Quaternion Fourier-Mellin moments for color images
Pattern Recognition
Using line scan camera for material cutting
VIS'08 Proceedings of the 1st WSEAS international conference on Visualization, imaging and simulation
Rotation and translation invariants of Gaussian-Hermite moments
Pattern Recognition Letters
Wavelet domain blur invariants for 1D discrete signals
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Motion blur concealment of digital video using invariant features
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Automatic generation technique of three-dimensional model corresponding to individual vessels
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Authenticating corrupted facial images on stand-alone DSP system
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A robust texture feature extraction using the localized angular phase
Multimedia Tools and Applications
Local phase quantization for blur-insensitive image analysis
Image and Vision Computing
Pseudo-Zernike moment invariants to blur degradation and their use in image recognition
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by blurring, spatial degradations, and random noise. Classical methods like blind deconvolution try to estimate the blur parameters and to restore the image. In this paper, we propose an alternative approach. We derive the features for image representation which are invariant with respect to blur regardless of the degradation PSF provided that it is centrally symmetric. As we prove in the paper, there exist two classes of such features: the first one in the spatial domain and the second one in the frequency domain. We also derive so-called combined invariants, which are invariant to composite geometric and blur degradations. Knowing these features, we can recognize objects in the degraded scene without any restoration.