Results 1 to 10 of about 1,507,774 (276)

Exploiting Superpixels for Multi-Focus Image Fusion [PDF]

open access: yesEntropy, 2021
Multi-focus image fusion is the process of combining focused regions of two or more images to obtain a single all-in-focus image. It is an important research area because a fused image is of high quality and contains more details than the source images ...
Areeba Ilyas   +3 more
doaj   +5 more sources

Conditional Random Field-Guided Multi-Focus Image Fusion [PDF]

open access: yesJournal of Imaging, 2022
Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important.
Odysseas Bouzos   +2 more
doaj   +4 more sources

Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain [PDF]

open access: yesSensors, 2023
Multi-focus image fusion plays an important role in the application of computer vision. In the process of image fusion, there may be blurring and information loss, so it is our goal to obtain high-definition and information-rich fusion images.
Liangliang Li   +3 more
doaj   +2 more sources

Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network [PDF]

open access: yesEntropy, 2022
The methods based on the convolutional neural network have demonstrated its powerful information integration ability in image fusion. However, most of the existing methods based on neural networks are only applied to a part of the fusion process. In this
Xiaole Ma   +3 more
doaj   +2 more sources

Multi-Focus Image Fusion and Depth Map Estimation Based on Iterative Region Splitting Techniques [PDF]

open access: yesJournal of Imaging, 2019
In this paper, a multi-focus image stack captured by varying positions of the imaging plane is processed to synthesize an all-in-focus (AIF) image and estimate its corresponding depth map.
Wen-Nung Lie, Chia-Che Ho
doaj   +2 more sources

Multi-Focus Image Fusion for Full-Field Optical Angiography [PDF]

open access: yesEntropy, 2023
Full-field optical angiography (FFOA) has considerable potential for clinical applications in the prevention and diagnosis of various diseases. However, owing to the limited depth of focus attainable using optical lenses, only information about blood ...
Yuchan Jie   +3 more
doaj   +2 more sources

Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain. [PDF]

open access: yesPLoS ONE, 2018
Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a ...
Hongmei Wang
doaj   +2 more sources

Multi-focus image fusion dataset and algorithm test in real environment [PDF]

open access: yesFrontiers in Neurorobotics, 2022
Shuaiqi Liu   +12 more
doaj   +2 more sources

Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library [PDF]

open access: yesJournal of Imaging, 2020
Image fusion is a process that integrates similar types of images collected from heterogeneous sources into one image in which the information is more definite and certain.
Rabia Zafar   +2 more
doaj   +2 more sources

The automatic focus segmentation of multi-focus image fusion [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
Multi-focus image fusion is a method of increasing the image quality and preventing image redundancy. It is utilized in many fields such as medical diagnostic, surveillance, and remote sensing. There are various algorithms available nowadays.
K. Hawari, Ismail Ismail
doaj   +1 more source

Home - About - Disclaimer - Privacy