A New Medical Image Enhancement Algorithm Based on Fractional Calculus

Jalab, Hamid A.; Ibrahim, Rabha W.; Hasan, Ali M.; Karim, Faten Khalid; Al-Shamasneh, Ala’a R.; Băleanu, Dumitru

doi:10.32604/cmc.2021.016047

Cited by 20 publications

(20 citation statements)

References 19 publications

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“…where T stands for the time threshold. [20][21][22]. e two learn the distribution of data by opposing each other, forming a dynamic "two-player min-max game".…”

Section: Research and Optimization Of Image Preprocessing Technologymentioning

confidence: 99%

“…e experimental results showed that the hybrid optimization algorithm of the Genetic Algorithm and PSO algorithm had the best classi cation e ect. [5] noted that medical image enhancement was a challenging research task. erefore, the authors proposed a new fractional integral entropy for estimating the unpredictable probability of image pixels.…”

Section: Introductionmentioning

confidence: 99%

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Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Cui¹,

Zhang

Wang³

et al. 2022

Computational Intelligence and Neuroscience

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Today, new media technology has widely penetrated art forms such as film and television, which has changed the way of visual expression in the new media environment. To better solve the problems of weak immersion, poor interaction, and low degree of simulation, the present work uses deep learning technology and virtual reality (VR) technology to optimize the film playing effect. Firstly, the optimized extremum median filter algorithm is used to optimize the “burr” phenomenon and a low compression ratio of the single video image. Secondly, the Generative Adversarial Network (GAN) in deep learning technology is used to enhance the data of the single video image. Finally, the decision tree algorithm and hierarchical clustering algorithm are used for the color enhancement of VR images. The experimental results show that the contrast of a single-frame image optimized by this system is 4.21, the entropy is 8.66, and the noise ratio is 145.1, which shows that this method can effectively adjust the contrast parameters to prevent the loss of details and reduce the dazzling intensity. The quality and diversity of the specific types of images generated by the proposed GAN are improved compared with the current mainstream GAN method with supervision, which is in line with the subjective evaluation results of human beings. The Frechet Inception Distance value is also significantly improved compared with Self-Attention Generative Adversarial Network. It shows that the sample generated by the proposed method has precise details and rich texture features. The proposed scheme provides a reference for optimizing the interactivity, immersion, and simulation of VR film.

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“…where T stands for the time threshold. [20][21][22]. e two learn the distribution of data by opposing each other, forming a dynamic "two-player min-max game".…”

Section: Research and Optimization Of Image Preprocessing Technologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Cui¹,

Zhang

Wang³

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…The FPDE's key benefit is its ability to improve low-contrast photos. Similarly, ( Jalab et al, 2021b , Jalab et al, 2021c ) proposed a new fractional calculus-based medical image enhancing method. This enhancement method improves image contrast while preserving image features, but it is ineffective for improving non-uniform illumination areas within input images.…”

Section: Related Workmentioning

confidence: 99%

Mathematical model based on fractional trace operator for COVID-19 image enhancement

Karim

Jalab

Ibrahim³

et al. 2022

Journal of King Saud University - Science

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“…The study of polymer images [16] has seen more applications of FD. Furthermore, a sort of fractal known as the quantum fractal (also known as the Jackson fractal) has recently been utilized to assess medical photographs [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Images Enhancement Based on a New Multi-Dimensional Fractal Created by Rectangular Function

Farhan¹

2022

ETJ

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 New Multi-Dimensional Fractal was introduced to improve and enhance the images.  Different images with low gray levels were enhanced by applying the suggested enhancement model.  The improvement brought a 97% rate in PNSR and a 95% rate in RMSD.Digital image processing is a field that is included in many journals due to its importance and the fact that it facilitates the achievement of many scientific and engineering applications worldwide. This specialization is linked with other disciplines, whether medical, engineering, sports, and others, as it facilitates the completion of applications quickly and efficiently. Researchers have discovered and garnered notice as a promising analytic tool in image processing using the idea of fractal dimension. In this effort, a new Multi-Dimensional Fractal (MDF) in view of the rectangle function was introduced a. As an application, the MDF to improve and enhance the images was employed, and found that there is a connection between MDF and image processing, where the self-similarity property, for example, is one of several features in the new definition. Other properties are discussed in the sequel, including image noise reduction. The presence of noise is responsible for properly operating these images in various applications. Several academics have created and applied a strategy for minimizing noise in features multiplicatively throughout the last several years. The outcomes reveal that the proposed strategy is successful. The method is based on the definition of the rectangular function (the elementary component of all digital signals, videos, and images), where this function indicates a rectangular-formed rhythm that is concentrated at the origin. For example, the suggested process received a rate of 97% for PNSR and 95% for RMSD.

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A New Medical Image Enhancement Algorithm Based on Fractional Calculus

Cited by 20 publications

References 19 publications

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Mathematical model based on fractional trace operator for COVID-19 image enhancement

Images Enhancement Based on a New Multi-Dimensional Fractal Created by Rectangular Function

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