Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network
Common non-focused areas are often present in multi-focus images due to the limitation of
the number of focused images. This factor severely degrades the fusion quality of multi-focus …
the number of focused images. This factor severely degrades the fusion quality of multi-focus …
Fusion of multi-focus images using differential evolution algorithm
V Aslantas, R Kurban - Expert Systems with Applications, 2010 - Elsevier
In an image captured by a CCD/CMOS sensor with an optical lens, only the objects within
the depth of field are sharply focused. One way to get an everywhere-in-focus image is to …
the depth of field are sharply focused. One way to get an everywhere-in-focus image is to …
Cross-modality fusion and progressive integration network for saliency prediction on stereoscopic 3D images
Traditional 2D image-based saliency prediction models suffer from unsatisfactory
performance when dealing with stereoscopic 3D (S3D) images because eye movements in …
performance when dealing with stereoscopic 3D (S3D) images because eye movements in …
A comparison of criterion functions for fusion of multi-focus noisy images
V Aslantas, R Kurban - Optics Communications, 2009 - Elsevier
In many practical applications, images are distorted by impulsive noise (IN) produced by
image sensors and/or communication channels. This noise may cause miscalculation of …
image sensors and/or communication channels. This noise may cause miscalculation of …
Large depth-of-field 3D shape measurement using an electrically tunable lens
The state-of-the-art 3D shape measurement system has rather shallow working volume due
to the limited depth-of-field (DOF) of conventional lens. In this paper, we propose to use the …
to the limited depth-of-field (DOF) of conventional lens. In this paper, we propose to use the …
Autofocusing method for a digital fringe projection system with dual projectors
This paper presents a novel technique to achieve autofocusing for a three-dimensional (3D)
profilometry system with dual projectors. The proposed system uses a camera that is …
profilometry system with dual projectors. The proposed system uses a camera that is …
All-in-focus image reconstruction under severe defocus
Limited depth-of-focus is a problem in many fields of optics, eg, microscopy and macro-
photography. We propose a new physically based method with a space variant point spread …
photography. We propose a new physically based method with a space variant point spread …
A depth estimation algorithm with a single image
V Aslantas - Optics express, 2007 - opg.optica.org
This paper explains the use of a sharpening filter to calculate the depth of an object from a
blurred image of it. It presents a technique which is independent of edge orientation. The …
blurred image of it. It presents a technique which is independent of edge orientation. The …
Three-dimensional imaging system with both improved lateral resolution and depth of field considering non-uniform system parameters
H Yun, A Llavador, G Saavedra, M Cho - Applied Optics, 2018 - opg.optica.org
In this paper, we propose a new 3D passive image sensing and visualization technique to
improve lateral resolution and depth of field (DoF) of integral imaging simultaneously. There …
improve lateral resolution and depth of field (DoF) of integral imaging simultaneously. There …
Multi-focus image fusion algorithm based on random features embedding and ensemble learning
J Zuo, W Zhao, L Chen, J Li, K Du, L Xiong, S Yin… - Optics …, 2022 - opg.optica.org
Multi-focus image fusion algorithm integrates complementary information from multiple
source images to obtain an all-in-focus image. Most published methods will create incorrect …
source images to obtain an all-in-focus image. Most published methods will create incorrect …