Handbook of Image and Video Processing
Handbook of Image and Video Processing
Smooth minimization of non-smooth functions
Mathematical Programming: Series A and B
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
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
Progressive inter-scale and intra-scale non-blind image deconvolution
ACM SIGGRAPH 2008 papers
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
The Split Bregman Method for L1-Regularized Problems
SIAM Journal on Imaging Sciences
Detecting and eliminating chromatic aberration in digital images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
Journal of Mathematical Imaging and Vision
Image Restoration by Matching Gradient Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Augmented Lagrangian Method for Total Variation Video Restoration
IEEE Transactions on Image Processing
Introducing total curvature for image processing
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Non-stationary correction of optical aberrations
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Spectralization: reconstructing spectra from sparse data
EGSR'10 Proceedings of the 21st Eurographics conference on Rendering
Image enhancement using calibrated lens simulations
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
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Modern imaging optics are highly complex systems consisting of up to two dozen individual optical elements. This complexity is required in order to compensate for the geometric and chromatic aberrations of a single lens, including geometric distortion, field curvature, wavelength-dependent blur, and color fringing. In this article, we propose a set of computational photography techniques that remove these artifacts, and thus allow for postcapture correction of images captured through uncompensated, simple optics which are lighter and significantly less expensive. Specifically, we estimate per-channel, spatially varying point spread functions, and perform nonblind deconvolution with a novel cross-channel term that is designed to specifically eliminate color fringing.