Blurred image recognition by Legendre moment invariants

Authors:
Hui Zhang;Huazhong Shu;Guoniu N. Han;Gouenou Coatrieux;Limin Luo;Jean Louis Coatrieux
Affiliations:
Laboratory of Image Science and Technology, Department of Computer Science and Engineering, Southeast University and Centre de Recherche en Information Biomédicale Sino-Français, Nanjing ...;Laboratory of Image Science and Technology, Department of Computer Science and Engineering, Southeast University and Centre de Recherche en Information Biomédicale Sino-Français, Nanjing ...;Institute de Recherche en Mathématiques et Application, Université Louis Pasteur, Strasbourg, France;Institut TELECOM, TELECOM Bretagne, INSERM, Brest, France;Laboratory of Image Science and Technology, Department of Computer Science and Engineering, Southeast University and Centre de Recherche en Information Biomédicale Sino-Français, Nanjing ...;INSERM, Rennes, France and Laboratoire Traitement du Signal et de l'Image, Université de Rennes I, Rennes, France and Centre de Recherche en Information Biomédicale Sino-Français, R ...
Venue:
IEEE Transactions on Image Processing
Year:
2010

Citing 10
Cited 4

On Image Analysis by the Methods of Moments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Degraded Image Analysis: An Invariant Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of motion parameters from blurred images

Pattern Recognition Letters
Moment Forms Invariant to Rotation and Blur in Arbitrary Number of Dimensions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Moment relations and blur invariant conditions for finite-extent signals in one, two and N-dimensions

Pattern Recognition Letters
Recognition of the blurred image by complex moment invariants

Pattern Recognition Letters
Image reconstruction from limited range projections using orthogonal moments

Pattern Recognition
Recognition of blurred images by the method of moments

IEEE Transactions on Image Processing
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation

IEEE Transactions on Image Processing
Space-Variant Restoration of Images Degraded by Camera Motion Blur

IEEE Transactions on Image Processing

Blur invariants: A novel representation in the wavelet domain

Pattern Recognition
Wavelet domain blur invariants for 1D discrete signals

ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant

Applied Intelligence
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

Quantified Score

Hi-index	0.01

Visualization

Abstract

Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur are based on geometric moments or complex moments. In this paper, we propose a new method to construct a set of blur invariants using the orthogonal Legendre moments. Some important properties of Legendre moments for the blurred image are presented and proved. The performance of the proposed descriptors is evaluated with various point-spread functions and different image noises. The comparison of the present approach with previous methods in terms of pattern recognition accuracy is also provided. The experimental results show that the proposed descriptors are more robust to noise and have better discriminative power than the methods based on geometric or complex moments.