Depth Measurement by the Multi-Focus Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Coded exposure photography: motion deblurring using fluttered shutter
ACM SIGGRAPH 2006 Papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Programmable aperture photography: multiplexed light field acquisition
ACM SIGGRAPH 2008 papers
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Statistical regularities in low and high dynamic range images
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A no-reference metric for evaluating the quality of motion deblurring
ACM Transactions on Graphics (TOG)
Special Section on Advanced Displays: Display adaptive 3D content remapping
Computers and Graphics
Optimized aperture shapes for depth estimation
Pattern Recognition Letters
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The field of computational photography, and in particular the design and implementation of coded apertures, has yielded impressive results in the last years. In this paper we introduce perceptually optimized coded apertures for defocused deblurring. We obtain near-optimal apertures by means of optimization, with a novel evaluation function that includes two existing image quality perceptual metrics. These metrics favour results where errors in the final deblurred images will not be perceived by a human observer. Our work improves the results obtained with a similar approach that only takes into account the L2 metric in the evaluation function. © 2012 Wiley Periodicals, Inc.