Results 21 to 30 of about 538 (196)
Multiscale and multidirection depth map super resolution with semantic inference
IET Image Processing, Volume 17, Issue 13, Page 3670-3687, 13 November 2023., 2023 A novel multiscale and multidirection depth map super resolution framework with semantic inference is proposed to improve the quality of depth maps. In this framework, a multiscale and multidirection depth map contour fusion scheme captures and assembles intrinsic geometrical structures through a multiview non‐subsampled contourlet transform manner ...
Dan Xu +3 more
wiley +1 more source
CEFusion: Multi‐Modal medical image fusion via cross encoder
IET Image Processing, Volume 16, Issue 12, Page 3177-3189, 16 October 2022., 2022 Abstract Most existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of ...
Ya Zhu +3 more
wiley +1 more source
Multipolarimetric SAR image change detection based on multiscale feature-level fusion [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images.
X. Sun, J. Zhang, L. Zhai
doaj +1 more source
IET Image Processing, Volume 16, Issue 6, Page 1558-1574, May 2022., 2022 Abstract Multi‐focus image fusion technology solves the problem of limited depth of field of the optical lens. It can extract different focus parts under the same target to synthesize a full‐focus image. This paper proposes an unsupervised dense network for multi‐focus image fusion. In the network, a multi‐scale feature extraction module is employed to
Ding Zhou +5 more
wiley +1 more source
CFNet: Context fusion network for multi‐focus images
IET Image Processing, Volume 16, Issue 2, Page 499-508, February 2022., 2022 Abstract Multi‐focus image fusion aims to generate a clear image by fusing multiple source images. Existing deep learning‐based fusion methods often neglect the context information resulting in the loss of detail information. To address this issue, a context fusion network to merge multi‐focus images, namely CFNet, is proposed.
Kang Zhang +3 more
wiley +1 more source
An Image Fusion Algorithm Based on Improved RGF and Visual Saliency Map.
Emerg Med Int, 2022 To solve the artifact problem in fused images and the lack of enough generalization under different scenarios of existing fusion algorithms, the paper proposes an image fusion algorithm based on improved RGF and visual saliency map to realize fusion for infrared and visible light images and a multimode medical image.
Li Y, Yang H, Gao Y.
europepmc +2 more sources
Research on similarity measurement for texture image retrieval. [PDF]
PLoS ONE, 2012 A complete texture image retrieval system includes two techniques: texture feature extraction and similarity measurement. Specifically, similarity measurement is a key problem for texture image retrieval study.
Zhengli Zhu, Chunxia Zhao, Yingkun Hou
doaj +1 more source
Nonsubsampled Contourlet Transform And Adaptive PCNN For Medical Image Fusion
Journal of Applied Science and Engineering, 2022 In order to improve the quality of medical image fusion, preserve the spectral characteristics of the original image and avoid spectral degradation of the fused image, we propose a new medical image fusion method based on the nonsubsampled contourlet ...
Qian Mei, Mengfan Li
doaj +1 more source
A Review on the Rule‐Based Filtering Structure with Applications on Computational Biomedical Images
Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022 In this paper, we present rule‐based fuzzy inference systems that consist of a series of mathematical representations based on fuzzy concepts in the filtering structure. It is crucial for understanding and discussing different principles associated with fuzzy filter design procedures.
Xiao-Xia Yin +5 more
wiley +1 more source
Behav Neurol, 2022 Multimodal medical image fusion is a current technique applied in the applications related to medical field to combine images from the same modality or different modalities to improve the visual content of the image to perform further operations like image segmentation.
Nandhini Abirami R +4 more
europepmc +2 more sources