Feature-oriented image enhancement using shock filters
SIAM Journal on Numerical Analysis
Image Motion Estimation From Motion Smear-A New Computational Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two motion-blurred images are better than one
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Total variation minimizing blind deconvolution with shock filter reference
Image and Vision Computing
BSGP: bulk-synchronous GPU programming
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2008 papers
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Progressive inter-scale and intra-scale non-blind image deconvolution
ACM SIGGRAPH 2008 papers
Enhancing photographs using content-specific image priors
Enhancing photographs using content-specific image priors
Total variation blind deconvolution
IEEE Transactions on Image Processing
Two-phase kernel estimation for robust motion deblurring
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Non-rigid dense correspondence with applications for image enhancement
ACM SIGGRAPH 2011 papers
PSO based motion deblurring for single image
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Motion deblurring from a single image using gradient enhancement
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Single image blind deconvolution with higher-order texture statistics
Proceedings of the 2010 international conference on Video Processing and Computational Video
Video deblurring for hand-held cameras using patch-based synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Non-uniform Deblurring for Shaken Images
International Journal of Computer Vision
High-quality image deblurring with panchromatic pixels
ACM Transactions on Graphics (TOG)
Registration Based Non-uniform Motion Deblurring
Computer Graphics Forum
Blind correction of optical aberrations
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Text image deblurring using text-specific properties
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Blur-Kernel estimation from spectral irregularities
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Bayesian blind deconvolution with general sparse image priors
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Recording and playback of camera shake: benchmarking blind deconvolution with a real-world database
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
A theoretical analysis of camera response functions in image deblurring
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Fast image deconvolution using closed-form thresholding formulas of Lq(q=12,23) regularization
Journal of Visual Communication and Image Representation
Joint MAP estimation for blind deconvolution: when does it work?
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Iris image deblurring based on refinement of point spread function
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Face recognition using fast neighborhood component analysis with spatially smooth regularizer
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure
Advanced Engineering Informatics
Patch mosaic for fast motion deblurring
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Single-Image blind deblurring for non-uniform camera-shake blur
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
MRF-Based blind image deconvolution
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Robust image deblurring using hyper laplacian model
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Disparity-based space-variant image deblurring
Image Communication
A no-reference metric for evaluating the quality of motion deblurring
ACM Transactions on Graphics (TOG)
Kernel estimation from salient structure for robust motion deblurring
Image Communication
Improved image deblurring based on salient-region segmentation
Image Communication
Image-pair-based deblurring with spatially varying norms and noisy image updating
Journal of Visual Communication and Image Representation
Robust blind motion deblurring using near-infrared flash image
Journal of Visual Communication and Image Representation
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This paper presents a fast deblurring method that produces a deblurring result from a single image of moderate size in a few seconds. We accelerate both latent image estimation and kernel estimation in an iterative deblurring process by introducing a novel prediction step and working with image derivatives rather than pixel values. In the prediction step, we use simple image processing techniques to predict strong edges from an estimated latent image, which will be solely used for kernel estimation. With this approach, a computationally efficient Gaussian prior becomes sufficient for deconvolution to estimate the latent image, as small deconvolution artifacts can be suppressed in the prediction. For kernel estimation, we formulate the optimization function using image derivatives, and accelerate the numerical process by reducing the number of Fourier transforms needed for a conjugate gradient method. We also show that the formulation results in a smaller condition number of the numerical system than the use of pixel values, which gives faster convergence. Experimental results demonstrate that our method runs an order of magnitude faster than previous work, while the deblurring quality is comparable. GPU implementation facilitates further speed-up, making our method fast enough for practical use.