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Pyramid-based multi-sensor image data fusion with enhancement of textural features [chapter]

B. Aiazzi, L. Alparone, S. Baronti, V. Cappellini, R. Carlà, L. Mortelli
1997 Lecture Notes in Computer Science  
In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with a rational scale factor is proposed to merge image data of any resolution and represent them at any scale.  ...  The GLP-based data fusion is shown to be superior to those of a similar scheme based on the discrete wavelet transform (WT) according to a set of parameters established in the literature.  ...  Multi-sensor Image Data Fusion The availability of data from many sensors with different characteristics makes data fusion a topic of ever increasing relevance in the field of digital image processing.  ... 
doi:10.1007/3-540-63507-6_188 fatcat:5katqbxeczebrcpyokg5ie5yfu

Multi-source and Multi-feature Image Information Fusion Based on Compressive Sensing

Qingzhao Li, Fei Jiang
2016 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
This paper uses the sparse representation method of compressive sensing theory, proposes a multi-source and multi-feature image information fusion method based on compressive sensing in accordance with  ...  Image fusion is a comprehensive information processing technique and its purpose is to enhance the reliability of the image via the processing of the redundant data among multiple images, improve the image  ...  Acknowledgements This work was supported by the University Natural Science Project of Anhui Province (Grant No. KJ2014ZD31).  ... 
doi:10.12928/telkomnika.v14i2.2748 fatcat:v744jsl5bfg7vahamndvd3cbmy

Performance Analysis of Image Fusion Tecniques for Sonar Image Enhancement

J. Alavandan, S. Santhosh Baboo
2012 International Journal of Computer Applications  
In this paper, two techniques, Laplacian Pyramid-based image fusion and Wavelet-based image fusion algorithms are considered and their applicability to fuse sonar images to construct an enhanced image  ...  To efficiently analyze an image, the quality of the image should be high standard and thus, enhancement of image quality has become imperative in image analysis systems.  ...  Feature enhancement Taking advantage of the different physical nature of microwave and optical sensor systems the fusion of those data results in an enhancement of various features observed (Yesou et  ... 
doi:10.5120/6212-8861 fatcat:6mkm75ptjncgnbbbp4p7g3eq24

Image Fusion Techniques:

2020 International journal of recent technology and engineering  
In image fusion, more than one images of a scene with varying conditions are considered and fused together to get an image with more details than the input images.  ...  The required features and details will be enhanced in fused image. This technique is used in different areas of application for correcting and enhancing the details that are not visible in sources.  ...  The image pyramid is a data structure constructed with sequence of band-pass or low-pass version of image with information pattern in various scale.  ... 
doi:10.35940/ijrte.e4867.018520 fatcat:75yfom6hgvbwvlfca42lgccsba

Image Fusion Techniques: A Survey

Harpreet Kaur, Deepika Koundal, Virender Kadyan
2021 Archives of Computational Methods in Engineering  
The fusion of images is used for integrating the complementary multi-temporal, multi-view and multi-sensor Information into a single image with improved image quality and by keeping the integrity of important  ...  In this paper, various state-of-art image fusion methods of diverse levels with their pros and cons, various spatial and transform based method with quality metrics and their applications in different  ...  Multi Sensors Multi-sensor IF overpowers the confines of a one sensor IF by integration of images from a number of sensors to form a compound image.  ... 
doi:10.1007/s11831-021-09540-7 pmid:33519179 pmcid:PMC7829034 fatcat:sio5qksikzaexnh2ztb372epxi

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

Jiang Dong, Dafang Zhuang, Yaohuan Huang, Jingying Fu
2009 Sensors  
The paper presents an overview of recent advances in multi-sensor satellite image fusion.  ...  With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available.  ...  Acknowledgements This research was supported and funded by the State Key Laboratory of Resources and Environment Information System, and Ministry of Science and Technology of China (grant 2006CB403400-  ... 
doi:10.3390/s91007771 pmid:22408479 pmcid:PMC3292082 fatcat:ucoiobpr55bw7d3qnub2cnd6sa

CT and MRI Medical Image Fusion Using Noise-Removal and Contrast Enhancement Scheme with Convolutional Neural Network

Jameel Ahmed Bhutto, Lianfang Tian, Qiliang Du, Zhengzheng Sun, Lubin Yu, Muhammad Faizan Tahir
2022 Entropy  
representation of significant features.  ...  edges, and textures.  ...  Feature-level-based image fusion on the other hand deals with highlevel processing tasks [12, 13] .  ... 
doi:10.3390/e24030393 pmid:35327904 pmcid:PMC8947653 fatcat:cfeoqkxxyng5haopmpocv54yp4

Multispectral and SAR Image Fusion Based on Laplacian Pyramid and Sparse Representation

Hai Zhang, Huanfeng Shen, Qiangqiang Yuan, Xiaobin Guan
2022 Remote Sensing  
Complementary information from multi-sensors can be combined to improve the availability and reliability of stand-alone data.  ...  Therefore, this paper presents a fusion framework to integrate the information from MS and SAR images based on the Laplacian pyramid (LP) and sparse representation (SR) theory.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14040870 fatcat:2lkukijvibdpzf75rmm5gwh7ia

Multi-focus Image Fusion using Fully Convolutional Two-stream Network for Visual Sensors

2018 KSII Transactions on Internet and Information Systems  
Multi-focus image fusion can overcome the diversities and limitations of single sensor in spatial resolution, geometry, and spectrum, thus enhance the reliability of image processing tasks, such as feature  ...  In feature-level, features of images include size, edges, corners and textures [7] [8] . Feature-level fusion does not require source images registration strictly.  ...  Introduction Multi-focus image fusion is an important branch of multi-sensor image fusion. It is mainly semantic segmentation, denoising and super-resolution.  ... 
doi:10.3837/tiis.2018.05.019 fatcat:xmdfs3ft2vdxzjgi6coxqparde

Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

HARBINDER SINGH
2018 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
This thesis attempts to develop a novel detail enhanced multi-exposure image fusion approach, which exploits the edge preserving capability of adaptive filters.  ...  Therefore, it is desirable to maximize information content of the synthesized scene from a set of multi-exposure images without computing HDR radiance map and tonemapping.  ...  Following the consideration of pixel intensity based fusion; the ultimate goal of this thesis is the utilization of computationally simple and robust texture features for the identification of well-exposed  ... 
doi:10.5565/rev/elcvia.1126 fatcat:4v4zkrlpzja37pdk7b7ebhhzvy

Quality Enhancement of Image Fusion Technique using Wavelet Transform

P. Kaviya, S. Deiva Nesam Hannah, V. Savitha, Dr. S. Karthik
2015 International Journal of Engineering Research and  
The improved image fusion algorithm is used to modify the different alignments of the images. Fusion algorithms with various rules can be used to combine the images.  ...  The main objective of this paper is to enhance the quality of the fused images by using the wavelet transform.  ...  Need for Image Fusion Multi sensor data fusion has become an authority which demands more general formal solutions to a number of application cases.  ... 
doi:10.17577/ijertv4is090274 fatcat:hk2incrqdrgwdbginracqmhdme

Diabetic plantar pressure analysis using image fusion

Luying Cao, Nilanjan Dey, Amira S. Ashour, Simon Fong, R. Simon Sherratt, Lijun Wu, Fuqian Shi
2018 Multimedia tools and applications  
In the current work, image fusion has been applied using wavelet transform and compared with Laplace Pyramid.  ...  Using image fusion rules of Mean-Max, we presented a plantar pressure image fusion method employing haar wavelet transform.  ...  Laplace Pyramid transform based image fusion has a wide range of features.  ... 
doi:10.1007/s11042-018-6269-x fatcat:ey443epzgbbyldlek2wdty3vf4

Multi-Sensor Image Fusion: A Survey of the State of the Art

Bing Li, Yong Xian, Daqiao Zhang, Juan Su, Xiaoxiang Hu, Weilin Guo
2021 Journal of Computer and Communications  
Accordingly, in this paper, we first provide a comprehensive survey of the state of the art of multi-sensor image fusion methods in terms of three aspects: pixel-level fusion, feature-level fusion and  ...  In this section, we present a comprehensive review of multi-sensor image fusion methods of the pixel-level fusion, feature level fusion, and decision-level fusion varieties. B. Li et al.  ...  Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper.  ... 
doi:10.4236/jcc.2021.96005 fatcat:ulm4hbfy5ndkdne6fng6ncyn3i

Image Fusion: An Overview

Zaid Omar, Tania Stathaki
2014 2014 5th International Conference on Intelligent Systems, Modelling and Simulation  
An extensive overview of the field of image fusion is presented in this paper.  ...  Further, it discusses in detail the history of fusion algorithms that comprise various transform-domain and data driven methods.  ...  FUSION FOR MULTI-MODALITY SENSORS In real world applications where various optical sensors are used for image acquisition, it is often difficult to obtain a good quality image from a single sensor alone  ... 
doi:10.1109/isms.2014.58 fatcat:tadrosjwsbfvlgkmai4gfpclta

Survey of Multispectral Image Fusion Techniques in Remote Sensing Applications [chapter]

Dong Jiang, Dafang Zhuang, Yaohuan Huang
2013 New Advances in Image Fusion  
Feature level fusion. Feature-based fusion at feature level requires an extraction of objects recognized in the various data sources.  ...  Sensor image data with low temporal resolution and high spatial resolution can be fused with high temporal resolution data to enhance the changing information of certain ground objects.  ... 
doi:10.5772/56946 fatcat:emb7nxyfcjcgtdq26lvejvegyi
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