A new wavelet-based multi-focus image fusion technique using method noise and anisotropic diffusion for real-time surveillance application

Singh, Prabhishek; Diwakar, Manoj; Cheng, Xiaochun; Shankar, Achyut

doi:10.1007/s11554-021-01125-8

Cited by 33 publications

(12 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Laplacian filter of an image highlights an area of rapid intensity change. Hence, the LF is used for the edge-sharpening [ 27 , 30 , 32 ]. This operator is exceptionally well at identifying the critical information in an image.…”

Section: Proposed Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images

Khan¹,

Khan

Alharbi

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

In this study, we introduced a preprocessing novel transformation approach for multifocus image fusion. In the multifocus image, fusion has generated a high informative image by merging two source images with different areas or objects in focus. Acutely the preprocessing means sharpening performed on the images before applying fusion techniques. In this paper, along with the novel concept, a new sharpening technique, Laplacian filter + discrete Fourier transform (LF + DFT), is also proposed. The LF is used to recognize the meaningful discontinuities in an image. DFT recognizes that the rapid change in the image is like sudden changes in the frequencies, low-frequency to high-frequency in the images. The aim of image sharpening is to highlight the key features, identifying the minor details, and sharpen the edges while the previous methods are not so effective. To validate the effectiveness the proposed method, the fusion is performed by a couple of advanced techniques such as stationary wavelet transform (SWT) and discrete wavelet transform (DWT) with both types of images like grayscale and color image. The experiments are performed on nonmedical and medical (breast medical CT and MRI images) datasets. The experimental results demonstrate that the proposed method outperforms all evaluated qualitative and quantitative metrics. Quantitative assessment is performed by eight well-known metrics, and every metric described its own feature by which it is easily assumed that the proposed method is superior. The experimental results of the proposed technique SWT (LF + DFT) are summarized for evaluation matrices such as RMSE (5.6761), PFE (3.4378), MAE (0.4010), entropy (9.0121), SNR (26.8609), PSNR (40.1349), CC (0.9978), and ERGAS (2.2589) using clock dataset.

show abstract

Section: Proposed Methodologymentioning

confidence: 99%

“…Appropriate high-pass and low-pass filters have used the data at each level, producing two sequences at the next level. In the decimated approach, the filters are applied for the rows at first and then for the columns [ 7 , 30 ]. The SWT filter bank structure is given in Figure 2 .…”

Section: Literature Studymentioning

confidence: 99%

Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images

Khan¹,

Khan

Alharbi

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…The proposed method extracts the monogenic features of source images, adopts different similarity measure to divide monogenic features into different regions, and chooses different fusion rules to realize adaptive fusion. In 2021, Singh et al [ 30 ] proposed a cutting-edge multi-focus image fusion method for real-time monitoring. The efficiency of the image fusion process is increased by using a wavelet-based hybrid solution, a multi-step image fusion methodology, and the noise diffusion concept.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform

Pal

Chowdhuri

2023

Multimed Tools Appl

View full text Add to dashboard Cite

“…2021). Economists have extensively researched the intergenerational transmission of education incomes, reproduction, and welfare (Singh et al 2021). In addition to being passed down through generations, familial culture too is learned and passed on through the generations .…”

mentioning

confidence: 99%

Analysis on the Allocation of Control Right of Intergenerational Inheritance of Family Enterprises in the New Era

Wang

2023

International Journal of Data Warehousing and Mining

View full text Add to dashboard Cite

Artificial intelligence (AI) is the primary tool used by businesses to enhance economic advantages. Family company management is undergoing information and the digital industrial revolution because of artificial intelligence. With the fast development of new technologies, the family company management style has a significant effect and previously unimaginable impact. For most enterprises, intergenerational succession is either taking place or will occur shortly. Here intergenerational inheritance significance for family-owned businesses (IISF-OB) has been proposed to solve family company performance and the internal action mechanisms. Intergenerational succession pathways deserve consideration, and research for the family businesses must utilize artificial intelligence technology to enhance related work. The proposed method investigates how family company management modes can be innovated to fulfill societal development requirements methods in artificial intelligence. It will use case studies, comparative analyses, and develop a new solution.

show abstract

A new wavelet-based multi-focus image fusion technique using method noise and anisotropic diffusion for real-time surveillance application

Cited by 33 publications

References 45 publications

Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images

Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images

A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform

Analysis on the Allocation of Control Right of Intergenerational Inheritance of Family Enterprises in the New Era

Contact Info

Product

Resources

About