Results 221 to 230 of about 53,412 (252)

Compressive Sensing Multi-focus Image Fusion

2014
Based on the compressive sensing theory (CS), various compressive imaging (CI) systems have been developed. Meanwhile, image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures. In this paper, we presented a multi-focus image fusion method in compressive sensing domain.
Fang Cheng, Bin Yang 0030, Zhiwei Huang
openaire   +1 more source

Single fog image restoration with multi-focus image fusion

Journal of Visual Communication and Image Representation, 2018
Abstract The images and videos captured in bad weather usually have low quality caused by reduced contrast and faded color. However, traditional techniques are not sufficient to solve the problems of halo artifacts and brightness distortion. In this paper, a multi-focus fusion method for single fog image restoration is proposed.
Yin Gao, Yijing Su, Qiming Li, Jun Li 0043   +3 more
openaire   +1 more source

Quality estimation based multi-focus image fusion

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this work, a quality estimation based multi-focus image fusion method (QEBIF) is proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the multi-focus images with their estimated focus levels as weights. Since the visual quality of an image is highly correlated with its focus level, the visual quality is estimated ...
Jingwei Guan, Wai-Kuen Cham
openaire   +1 more source

A multi-focus image fusion algorithm in 5G communications

Multimedia Tools and Applications, 2018
In this paper, we first build a mobile cloud platform that users can upload multi-focus images or download full-focus images through the 5G network. Then we design a method named Region Mosaicking on Contrast Pyramid (RMCP) for image fusion on the cloud platform.
Jianguo Sun, Wenshan Wang, Kejia Zhang 0001, Liguo Zhang 0002, Yun Lin 0005, Qilong Han, Qingan Da, Liang Kou   +7 more
openaire   +1 more source

Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion

2019
In this paper, we introduce a novel unsupervised deep learning (DL) method for multi-focus image fusion. Existing multi-focus image fusion (MFIF) methods based on DL treat MFIF as a classification problem with a massive amount of reference images to train networks.
Hafiz Tayyab Mustafa, Fanghui Liu 0001, Jie Yang 0002, Zubair Khan, Qiao Huang   +4 more
openaire   +1 more source

Multi-focus image fusion algorithm based on NSCT

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012
This paper is aimed at the problem of Multi-focus image fusion for the same scene and has proposed a multi-focus image fusion algorithm based on NSCT [1] (The Nonsubsampled Contourlet Transform). NSCT is the sparse representation of a two-dimension piecewise smooth signals, not only satisfying the anisotropic scaling relation and having the multi-scale,
Yahao Yan, Junping Du 0001, Qingping Li, Min Zuo, JangMyung Lee   +4 more
openaire   +1 more source

Multi-focus image fusion with alternating guided filtering

Signal, Image and Video Processing, 2018
Due to depth-of-field limitations, existing optical sensors cannot usually obtain a focused image that contains all of the objects in the same scene at different distances. These partially focused images cannot effectively represent the scene and may potentially hinder a complete and accurate understanding of the scene, or even the performance of ...
Yongxin Zhang, Wei Wei 0006, Yating Yuan
openaire   +1 more source

Multi-focus image fusion for extended depth of field

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
In this paper, we address the extended depth of field method, which appropriately applicable to a set of stack images. The proposed fusion algorithm improved a conventional discrete wavelet transform using spatial frequency and sum-modified-Laplacian.
Wisarut Chantara, Yo-Sung Ho
openaire   +1 more source

Pattern Selective Image Fusion for Multi-focus Image Reconstruction

2005
This paper presents a method for fusing multiple images of a static scene and shows how to apply the proposed method to extend depth of field. Pattern selective image fusion provides a mechanism for combining multiple monochromatic images through identifying salient features in the source images and combining those features in to a single fused image ...
Vivek Maik, Jeongho Shin, Joon Ki Paik
openaire   +1 more source

Depth-Distilled Multi-Focus Image Fusion

IEEE Transactions on Multimedia, 2023
Fan Zhao 0005, Wenda Zhao 0003, Huimin Lu 0001, Yong Liu 0017, Libo Yao, Yu Liu 0005   +5 more
openaire   +1 more source