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Defocus Estimation

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Papers

Multi-task Learning for Monocular Depth and Defocus Estimations with Real Images

2022-08-21 · Renzhi He, Hualin Hong, Boya Fu, Fei Liu

Monocular depth estimation and defocus estimation are two fundamental tasks in computer vision. Most existing methods treat depth estimation and defocus estimation as two separate tasks, ignoring the strong connection be…

Defocus EstimationDepth EstimationMonocular Depth EstimationMulti-Task Learning

Single image deep defocus estimation and its applications

2021-07-30 · Fernando J. Galetto, Guang Deng

Depth information is useful in many image processing applications. However, since taking a picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth information is embedded in the image. Extrac…

Defocus EstimationImage EnhancementMulti Focus Image Fusion

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features

2019-06-01 · CVPR 2019 6 · Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang 외

Defocus blur detection aims to detect out-of-focus regions from an image. Although attracting more and more attention due to its widespread applications, defocus blur detection still confronts several challenges such as …

Defocus Blur DetectionDefocus EstimationSensitivity

Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network

2019-06-01 · CVPR 2019 6 · Wenda Zhao, Bowen Zheng, Qiuhua Lin, Huchuan Lu

Defocus blur detection (DBD) is a fundamental yet challenging topic, since the homogeneous region is obscure and the transition from the focused area to the unfocused region is gradual. Recent DBD methods make progress t…

Defocus Blur DetectionDefocus EstimationDiversity

Deep Defocus Map Estimation Using Domain Adaptation

2019-06-01 · CVPR 2019 6 · Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee

In this paper, we propose the first end-to-end convolutional neural network (CNN) architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map estimation. To train the network, we produce a no…

DeblurringDefocus EstimationDomain Adaptation

Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network

2018-06-01 · CVPR 2018 6 · Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu

Defocus blur detection (DBD) is the separation of infocus and out-of-focus regions in an image. This process has been paid considerable attention because of its remarkable potential applications. Accurate differentiation…

Defocus Blur DetectionDefocus Estimation

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