MOTF: Multi-objective Optimal Trilateral Filtering based partial moving frame algorithm for image denoising

Rejeesh, M R; P, Thejaswini

doi:10.1007/s11042-020-09234-5

Cited by 67 publications

(33 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All the vocational education programs in China are administered locally and they hold a dynamic relationship with the society. Moreover, it is believed that vocational training schools maintain their dynamic relationship with the employers which will help the former to change according to the environment (Longo, Gunz, Curtis, & Farsides, 2016;Schulte, 2013;Tiwari, Tiwari, Santhose, Mishra, Rejeesh, & Sundararaj, 2021;Sundararaj, 2016;Sundararaj, 2019a, b;Rejeesh & Thejaswini, 2020).…”

Section: Introductionmentioning

confidence: 99%

Research on the reform of management system of higher vocational education in China based on personality standard

2021

View full text Add to dashboard Cite

With the rapid development of Higher Vocational Education in China, the main objective is to improve the quality of Higher Vocational Education in an all-round way. For a long time, higher vocational education has been using the knowledge-based education mode of general higher education or secondary vocational education. Until the early 1990s, the ability-based education model was gradually introduced. The understanding and research of higher vocational education should not be confined to the interior of education. Many policies and measures to accelerate development have been introduced, and the scale of vocational education has been expanding in recent years. Higher vocational education in China has become an important part of higher education. It is an important type of higher education and a high level of vocational education. In order to cultivate the sound personality of students in higher vocational colleges, it is necessary to establish a personality-based education model. Realize the innovation of talent training mode and the quality improvement of personnel training. Meeting the new normal of the innovation-driven society, the demand for high-quality technical skills is required. It is a major practical problem facing the current construction of a modern vocational education system.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on the reform of management system of higher vocational education in China based on personality standard

2021

View full text Add to dashboard Cite

show abstract

“…Figure 18 provides the details of different biomedical images (brain (MRI), chest (x-ray), lungs (CT)) with Poisson noise given to bilateral filter (Dabhade et al, 2018), trilateral filter (Dey et al, 2012; Rejeesh and Thejaswini, 2020), proposed advanced trilateral filter (software), along with co-simulation output of the advanced trilateral filter (hardware), respectively. Figure 19 shows the PSNR performance analysis for different biomedical images with Poisson noise.…”

Section: Resultsmentioning

confidence: 99%

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Raja

Naveen

Palaniswamy

et al. 2021

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Filtering is one of the essential tools utilized to remove undesirable features in biomedical images. Most biomedical image denoising systems are used for clinical diagnosis. So, in this paper, we use the advanced trilateral filter in the field programmable gate array (FPGA) for removing noise in the biomedical image. Generally, the trilateral filter is used as an edge preserving smoothing filter. This advanced approach of trilateral filter gives the best noise diminution and enhances the image quality. This paper also proposes the hardware implementation of an efficient FPGA-based advanced trilateral filter on real time execution. In this manuscript, we intend to design and implement the FPGA architecture using an advanced trilateral filter. Biomedical images with different noises are used during implementation and compared with the existing bilateral and trilateral architecture to assess the proposed architecture performance. For evaluating the performance metrics of the proposed advanced trilateral filter on MATLAB platform, peak signal-to-noise ratio (PSNR), mean squared error (MSE) and structured similarity index (SSIM) are calculated for different biomedical images – such as brain (MRI), chest (x-ray) and lungs (CT) – with different noises – such as salt and pepper, Gaussian, Poisson and Speckle noises – compared with existing bilateral filter and trilateral filter, respectively. The proposed advanced trilateral filter implementations are checked on Virtex-6, Virtex-7 and Zynq FPGA development board using Verilog programming language in Xilinx ISE 14.5 design tools. The simulation outcomes display that the FPGA execution of the advanced trilateral filter contains better noise removal efficiency in biomedical images compared with the existing bilateral and trilateral filter.

show abstract

“…Related scholars have proposed a differential curvature-driven fractional anisotropic diffusion of tourist street scene image denoising model, using two new technologies, fractional differential and differential curvature, to describe the intensity changes of tourist street scene images [19]. Researchers apply the fractional Brownian motion model and the regularization method of diffusion to anisotropy to propose a denoising algorithm for tourist street scene images containing natural random textures [20].…”

Section: Related Workmentioning

confidence: 99%

Denoising of Tourist Street Scene Image Based on ROF Model of Second-Order Partial Differential Equation

Yang

2021

Advances in Mathematical Physics

View full text Add to dashboard Cite

The noise pollution in tourist street view images is caused by various reasons. A major challenge that researchers have been facing is to find a way to effectively remove noise. Although in the past few decades people have proposed many methods of denoising tourist street scene images, the research on denoising technology of tourist street scene images is still not outdated. There is no doubt that it has become a basic and important research topic in the field of digital image processing. The evolutionary diffusion method based on partial differential equations is helpful to improve the quality of noisy tourist street scene images. This method can process tourist street scene images according to people’s expected diffusion behavior. The adaptive total variation model proposed in this paper is improved on the basis of the total variation model and the Gaussian thermal diffusion model. We analyze the classic variational PDE-based denoising model and get a unified variational PDE energy functional model. We also give a detailed analysis of the diffusion performance of the total variational model and then propose an adaptive total variational diffusion model. By improving the diffusion coefficient and introducing a curvature operator that can distinguish details such as edges, it can effectively denoise the tourist street scene image, and it also has a good effect on avoiding the step effect. Through the improvement of the ROF model, the loyalty term and regular term of the model are parameterized, the adaptive total variation denoising model of this paper is established, and a detailed analysis is carried out. The experimental results show that compared with some traditional denoising models, the model in this paper can effectively suppress the step effect in the denoising process, while protecting the texture details of the edge area of the tourist street scene image. In addition, the model in this paper is superior to traditional denoising models in terms of denoising performance and texture structure protection.

show abstract

MOTF: Multi-objective Optimal Trilateral Filtering based partial moving frame algorithm for image denoising

Cited by 67 publications

References 33 publications

Research on the reform of management system of higher vocational education in China based on personality standard

Research on the reform of management system of higher vocational education in China based on personality standard

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Denoising of Tourist Street Scene Image Based on ROF Model of Second-Order Partial Differential Equation

Contact Info

Product

Resources

About