Journal ArticleDOI
Simultaneous Estimation of Defocus and Motion Blurs From Single Image Using Equivalent Gaussian Representation
TLDR
A novel method to estimate the concurrent defocus and motion blurs in a single image is proposed, which works well for real images as well as for compressed images.Abstract:
The occurrence of motion blur along with defocus blur is a common phenomena in natural images. Usually, these blurs are spatially varying in nature for any general image and estimation of one type of blur is affected by presence of other. In this paper, we propose a novel method to estimate the concurrent defocus and motion blurs in a single image. Unlike the recent methods, which perform well only on simulated conditions or in presence of single type of blur, proposed method works well for real images as well as for compressed images. In this paper, we consider only commonly associated motion and defocus blurs for analysis. Decoupling of motion and defocus blur provides a fundamental tool that can be used for various analysis and applications.read more
Citations
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Journal ArticleDOI
Image-Scale-Symmetric Cooperative Network for Defocus Blur Detection
TL;DR: Zhao et al. as mentioned in this paper proposed an image-scale-symmetric cooperative network (IS2CNet) for DBD, which gradually spreads the recept of image content.
Journal ArticleDOI
Gaussian-Wiener Representation and Hierarchical Coding Scheme for Focal Stack Images
TL;DR: A new Gaussian-Wiener representation based inter prediction (GWR-IP) is presented by embedding Gaussian convolution and Wiener deconvolution into normal video encoder and demonstrates that Gaussian representation contributes more on coding performance than Wiener representation and GWR-HPS.
Posted Content
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
TL;DR: In this article, the authors propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene using a Markov Random Field (MRF) framework.
Journal ArticleDOI
Gaussian-Wiener Representation and Hierarchical Coding Scheme for Focal Stack Images
TL;DR: In this article , a Gaussian-Wiener representation based inter prediction (GWR-IP) is presented by embedding Gaussian convolution and Wiener deconvolution into normal video encoder.
Journal ArticleDOI
Motion blur invariant for estimating motion parameters of medical ultrasound images
Barmak Honarvar Shakibaei Asli,Barmak Honarvar Shakibaei Asli,Yifan Zhao,John Ahmet Erkoyuncu +3 more
TL;DR: A new model of linear motion blur in both frequency and moment domain is proposed to analyze the invariant features of blurconvolution for ultrasound images and helps to provide an estimation of motion parameters for blurlength and angle.
References
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Proceedings ArticleDOI
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
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Journal ArticleDOI
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
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