Blurred Image Classification based on Adaptive Dictionary

Two frameworks for blurred image classification based on adaptive dictionary are proposed. Given a blurred image, instead of image deblurring, the semantic category of the image is determined by blur insensitive sparse coefficients calculated depending on an adaptive dictionary. The dictionary is adaptive to an assumed space invariant Point Spread Function (PSF) estimated from the input blurred image. In one of the proposed two frameworks, the PSF is inferred separately and in the other, the PSF is updated combined with sparse coefficients calculation in an alternative and iterative manner. The experimental results have evaluated three types of blur namely defocus blur, simple motion blur and camera shake blur. The experiment results confirm the effectiveness of the proposed frameworks.

[2]  Yihong Gong,et al.  Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.

[3]  Jipsa Kurian,et al.  A Survey on Image Classification Methods , 2012 .

[4]  Esa Rahtu,et al.  Improved Blur Insensitivity for Decorrelated Local Phase Quantization , 2010, 2010 20th International Conference on Pattern Recognition.

[5]  Pietro Perona,et al.  Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[6]  Ville Ojansivu,et al.  Methods for local phase quantization in blur-insensitive image analysis , 2009, 2009 International Workshop on Local and Non-Local Approximation in Image Processing.

[7]  Thomas S. Huang,et al.  Close the loop: Joint blind image restoration and recognition with sparse representation prior , 2011, 2011 International Conference on Computer Vision.

[8]  William T. Freeman,et al.  Removing camera shake from a single photograph , 2006, SIGGRAPH 2006.

[9]  A. Bruckstein,et al.  K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .

[10]  Huazhong Shu,et al.  Blurred Image Recognition by Legendre Moment Invariants , 2010, IEEE Transactions on Image Processing.

[11]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[12]  Masashi Nishiyama,et al.  Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.