Proceedings ArticleDOI
Divide and Conquer for Full-Resolution Light Field Deblurring
M R Mahesh Mohan,A. N. Rajagopalan +1 more
- pp 6421-6429
TLDR
A new blind motion deblurring strategy for LFs which alleviates limitations significantly and is CPU-efficient computationally and can effectively deblur full-resolution LFs.Abstract:
The increasing popularity of computational light field (LF) cameras has necessitated the need for tackling motion blur which is a ubiquitous phenomenon in hand-held photography. The state-of-the-art method for blind deblurring of LFs of general 3D scenes is limited to handling only downsampled LF, both in spatial and angular resolution. This is due to the computational overhead involved in processing data-hungry full-resolution 4D LF altogether. Moreover, the method warrants high-end GPUs for optimization and is ineffective for wide-angle settings and irregular camera motion. In this paper, we introduce a new blind motion deblurring strategy for LFs which alleviates these limitations significantly. Our model achieves this by isolating 4D LF motion blur across the 2D subaperture images, thus paving the way for independent deblurring of these subaperture images. Furthermore, our model accommodates common camera motion parameterization across the subaperture images. Consequently, blind deblurring of any single subaperture image elegantly paves the way for cost-effective non-blind deblurring of the other subaperture images. Our approach is CPU-efficient computationally and can effectively deblur full-resolution LFs.read more
Citations
More filters
Journal ArticleDOI
A multi-aperture optical flow estimation method for an artificial compound eye
Journal ArticleDOI
Fast and Full-Resolution Light Field Deblurring Using a Deep Neural Network
TL;DR: This work generates a complex blurry light field dataset and proposes a learning-based deblurring approach that is about 16K times faster than Srinivasan et.
Proceedings ArticleDOI
Unconstrained Motion Deblurring for Dual-Lens Cameras
TL;DR: A generalized blur model is proposed that elegantly explains the intrinsically coupled image formation model for dual-lens set-up, which are by far most predominant in smartphones and reveals an intriguing challenge that stems from an inherent ambiguity unique to this problem which naturally disrupts this coherence.
Journal ArticleDOI
6-DOF motion blur synthesis and performance evaluation of light field deblurring
TL;DR: The experiment results show that the proposed blur model can maintain the parallax information (depth-dependent blur) in a light field image and produce a synthetic blurry light field dataset based on the 6-DOF model.
Journal ArticleDOI
Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution
TL;DR: Compared with existing state-of- the-art single and LF image SR methods, the proposed LF-DAnet method achieves superior SR performance under a wide range of degradations, and generalizes better to real LF images.
References
More filters
Proceedings ArticleDOI
Efficient filter flow for space-variant multiframe blind deconvolution
TL;DR: A class of linear transformations, that are expressive enough for space-variant filters, but at the same time especially designed for efficient matrix-vector-multiplications are presented.
A Category-Level 3D Object Dataset: Putting the Kinect to Work.
Allison Janoch,Sergey Karayev,Yangqing Jia,Jonathan T. Barron,Mario Fritz,Kate Saenko,Trevor Darrell +6 more
TL;DR: A dataset of color and depth image pairs, gathered in real domestic and office environments, establishes baseline performance in a PASCAL VOC-style detection task, and suggests two ways that inferred world size of the object may be used to improve detection.
Book
Vibration Simulation Using MATLAB and ANSYS
TL;DR: Bridging the gap between introductory vibration courses and the techniques used in actual practice, Vibration Simulation Using MATLAB and ANSYS builds the foundation that allows you to simulate your own real-life problems.
Proceedings ArticleDOI
Rolling shutter motion deblurring
Shuochen Su,Wolfgang Heidrich +1 more
TL;DR: This work proposes an approach that delivers sharp and undistorted output given a single rolling shutter motion blurred image, by global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment.
Proceedings ArticleDOI
A Wide-Field-of-View Monocentric Light Field Camera
TL;DR: This work describes a novel, compact optical design that couples a monocentric lens with multiple sensors using microlens arrays, allowing LF capture with an unprecedented FOV and proposes a novel method for efficiently coupling the spherical lens and planar sensors, replacing expensive and bulky fiber bundles.
Related Papers (5)
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence
Haesol Park,Kyoung Mu Lee +1 more