Learning to deblur using light field generated and real defocus images
Defocus deblurring is a challenging task due to the spatially varying nature of defocus blur.
While deep learning approach shows great promise in solving image restoration problems …
While deep learning approach shows great promise in solving image restoration problems …
Learning to reduce defocus blur by realistically modeling dual-pixel data
Recent work has shown impressive results on data-driven defocus deblurring using the two-
image views available on modern dual-pixel (DP) sensors. One significant challenge in this …
image views available on modern dual-pixel (DP) sensors. One significant challenge in this …
Defocus map estimation and deblurring from a single dual-pixel image
We present a method that takes as input a single dual-pixel image, and simultaneously
estimates the image's defocus map---the amount of defocus blur at each pixel---and …
estimates the image's defocus map---the amount of defocus blur at each pixel---and …
Modeling defocus-disparity in dual-pixel sensors
Most modern consumer cameras use dual-pixel (DP) sensors that provide two sub-aperture
views of the scene in a single photo capture. The DP sensor was designed to assist the …
views of the scene in a single photo capture. The DP sensor was designed to assist the …
Learning lens blur fields
Optical blur is an inherent property of any lens system and is challenging to model in
modern cameras because of their complex optical elements. To tackle this challenge, we …
modern cameras because of their complex optical elements. To tackle this challenge, we …
Dual-pixel raindrop removal
Removing raindrops in images has been addressed as a significant task for various
computer vision applications. In this paper, we propose the first method using a dual-pixel …
computer vision applications. In this paper, we propose the first method using a dual-pixel …
Leveraging blur information for plenoptic camera calibration
M Labussière, C Teulière, F Bernardin… - International Journal of …, 2022 - Springer
This paper presents a novel calibration algorithm for plenoptic cameras, especially the multi-
focus configuration, where several types of micro-lenses are used, using raw images only …
focus configuration, where several types of micro-lenses are used, using raw images only …
An out-of-focus image calibration method based on accurate positioning of concentric circle projection center
Z Yu, G Shen, Z Zhao, Z Wu, Y Liu - IEEE Access, 2023 - ieeexplore.ieee.org
During camera calibration, the plane target image is required to occupy most of the whole
image, and the focused image is also needed. It is difficult to satisfy these conditions in large …
image, and the focused image is also needed. It is difficult to satisfy these conditions in large …
What is a good model for depth from defocus?
Different models for estimating depth from defocused images have been proposed over the
years. Typically two differently defocused images are used by these models. Many of them …
years. Typically two differently defocused images are used by these models. Many of them …
Probabilistic modeling and inference for sequential space-varying blur identification
Y Huang, E Chouzenoux… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The identification of parameters of spatially variant blurs given a clean image and its blurry
noisy version is a challenging inverse problem of interest in many application fields, such as …
noisy version is a challenging inverse problem of interest in many application fields, such as …