Results 11 to 20 of about 1,665,992 (319)

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

Entropy, 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, Xiaosong Li, Mingyi Wang, Haishu Tan   +3 more
doaj   +2 more sources

Multi-focus image fusion using multi-scale image decomposition and saliency detection

Ain Shams Engineering Journal, 2018
In this paper, we develop a new multi-focus image fusion method based on saliency detection and multi-scale image decomposition. Proposed method is very efficient, since the visual saliency explored in this algorithm is able to emphasize visually ...
Durga Prasad Bavirisetti, Ravindra Dhuli
doaj   +3 more sources

A Survey of Multi-Focus Image Fusion Methods

Applied Sciences, 2022
As an important branch in the field of image fusion, the multi-focus image fusion technique can effectively solve the problem of optical lens depth of field, making two or more partially focused images fuse into a fully focused image.
Youyong Zhou, Lingjie Yu, Chao Zhi, Chuwen Huang, Shuai Wang, Mengqiu Zhu, Zhenxia Ke, Zhongyuan Gao, Yuming Zhang, Sida Fu   +9 more
doaj   +2 more sources

Multi-focus image fusion using maximum symmetric surround saliency detection [PDF]

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016
In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa.
Durga Prasad Bavirisetti, Ravindra Dhuli
doaj   +2 more sources

Generative Multi-Focus Image Fusion

CoRR
Multi-focus image fusion aims to generate an all-in-focus image from a sequence of partially focused input images. Existing fusion algorithms generally assume that, for every spatial location in the scene, there is at least one input image in which that location is in focus.
Xinzhe Xie, Buyu Guo, Bolin Li, Shuangyan He, Yanzhen Gu, Qingyan Jiang, Peiliang Li 0002   +6 more
openaire   +3 more sources

Fractal dimension-based multi-focus image fusion via distance-weighted regional energy in curvelet domain [PDF]

Scientific Reports
To address the challenges of information loss and noise interference in multi-focus image fusion, this paper presents a novel curvelet-domain fusion algorithm based on distance-weighted regional energy (DWRE) and fractal dimension.
Ming Lv, Zhenhong Jia, Wu Le, Liangliang Li, Hongbing Ma   +4 more
doaj   +2 more sources

Fractal Dimension-Based Multi-Focus Image Fusion via Coupled Neural P Systems in NSCT Domain

Fractal and Fractional
In this paper, we introduce an innovative approach to multi-focus image fusion by leveraging the concepts of fractal dimension and coupled neural P (CNP) systems in nonsubsampled contourlet transform (NSCT) domain. This method is designed to overcome the
Liangliang Li, Xiaobin Zhao, Huayi Hou, Xueyu Zhang, Ming Lv, Zhenhong Jia, Hongbing Ma   +6 more
doaj   +2 more sources

Multi-Focus Image Fusion Based on Fractal Dimension and Parameter Adaptive Unit-Linking Dual-Channel PCNN in Curvelet Transform Domain

Fractal and Fractional
Multi-focus image fusion is an important method for obtaining fully focused information. In this paper, a novel multi-focus image fusion method based on fractal dimension (FD) and parameter adaptive unit-linking dual-channel pulse-coupled neural network (
Liangliang Li, Sensen Song, Ming Lv, Zhenhong Jia, Hongbing Ma   +4 more
doaj   +2 more sources

An unsupervised multi‐focus image fusion method based on Transformer and U‐Net

IET Image Processing, 2023
This work presents a multi‐focus image fusion method based on Transformer and U‐Net with an unsupervised training fashion. In this work, the authors introduce Transformer into image fusion because it has great ability to capture the global dependencies ...
Xin Jin, Xiuliang Xi, Ding Zhou, Xiaoxuan Ren, Jie Yang, Qian Jiang   +5 more
doaj   +2 more sources

Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain. [PDF]

Sensors (Basel), 2023
In this paper, a multi-focus image fusion algorithm via the distance-weighted regional energy and structure tensor in non-subsampled contourlet transform domain is introduced.
Lv M, Li L, Jin Q, Jia Z, Chen L, Ma H.
europepmc   +2 more sources