Defocus Blur Detection and Estimation from Imaging Sensors
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Summary
An adaptive domain selection scheme to prelearn a set of compact dictionaries and adaptively select the optimal dictionary to each image patch and outperforms existing defocus blur estimation approaches, both qualitatively and quantitatively.
- Type
- article
- Published
- 2018-04-01
- Cited by
- 8
- References
- 38
- Access
- Open access
- OpenAlex
- https://openalex.org/W2796212462
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4811039
Keywords
Computer vision, Artificial intelligence, Computer science
References
- A New Quantitative Method for the Non-Invasive Documentation of Morphological Damage in Paintings Using RTI Surface Normals
- Just noticeable defocus blur detection and estimation
- Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
- Single image deblurring with adaptive dictionary learning
- Joint Depth Estimation and Camera Shake Removal from Single Blurry Image
- Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus
- Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach
- Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor
- Blurred Star Image Processing for Star Sensors under Dynamic Conditions
- Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
- Discriminative Blur Detection Features
- Estimating Spatially Varying Defocus Blur From A Single Image
- Scattering Removal for Finger-Vein Image Restoration
- Spectral-Based Blind Image Restoration Method for Thin TOMBO Imagers
- A non-local algorithm for image denoising
- Local Scale Control for Edge Detection and Blur Estimation
- Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture
- Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
- S_3: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images
Cited by
- Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization
- Deep Direction-Context-Inspiration Network for Defocus Region Detection in Natural Images
- MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection
- Hierarchical complementary residual attention learning for defocus blur detection
- Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
- A Comparative Model for Blurred Text Detection in Wild Scene Using Independent Component Analysis (ICA) and Enhanced Genetic Algorithm (Using a Bird Approach) with Classifiers
- PSF-Aware Image Deblurring with CBAM-Infused Deep Residual Networks
- Defocus Degree Estimation for Event Camera with Two-Stage Contrast Maximization
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