Deep multi-scale feature learning for defocus blur estimation

A Karaali, N Harte, CR Jung - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
This paper presents an edge-based defocus blur estimation method from a single defocused
image. We first distinguish edges that lie at depth discontinuities (called depth edges, for …

Temporal consistency for still image based defocus blur estimation methods

A Karaali, CR Jung, F Pitié - 2018 25th IEEE International …, 2018 - ieeexplore.ieee.org
Many Defocus blur estimation methods have been proposed in recent years but, when
applied to video sequences in a frame-by-frame manner, they typically exhibit temporal …

Characterisation of variable focus liquid lens camera system for depth estimation of a moving object

ABT Soon - 2021 - eprints.uthm.edu.my
Depth estimation of an object or a scene are used for the purpose of motion detection,
obstacle detection, positioning, depth mapping, or 3D shape recovery. These capabilities …

Detecção de placas de licenciamento veicular utilizando imagens com diferentes resoluções e em ambiente não controlado empregando técnicas de super resolução

G Junior, LC da Silva - 2019 - tede.ufam.edu.br
In this dissertation, we propose a solution using Digital Image Processing techniques to
detect license plates of Brazilian vehicles, which consists in elaborating a robust and flexible …