Image smoothing based on global sparsity decomposition and a variable parameter

Ma, Xiang; Li, Xuemei; Zhou, Yuanfeng; Zhang, Caiming

doi:10.1007/s41095-021-0220-1

Cited by 16 publications

(8 citation statements)

References 36 publications

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“…A state-of-the-art method for image enhancement was proposed by Ma et al [ 4 ], where they ensembled the local filters along with the global optimization approach. This method was based on global sparseness disintegration and a variable factor.…”

Section: Introductionmentioning

confidence: 99%

An Ensembled Spatial Enhancement Method for Image Enhancement in Healthcare

Ṣiddiqi

Alsirhani

2022

Journal of Healthcare Engineering

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Most medical images are low in contrast because adequate details that may prove vital decisions are not visible to the naked eye. Also, due to the low-contrast nature of the image, it is not easily segmented because there is no significant change between the pixel values, which makes the gradient very small Hence, the contour cannot converge on the edges of the object. In this work, we have proposed an ensembled spatial method for image enhancement. In this ensembled approach, we first employed the Laplacian filter, which highlights the areas of fast intensity variation. This filter can determine the sufficient details of an image. The Laplacian filter will also improve those features having shrill disjointedness. Then, the gradient of the image has been determined, which utilizes the surrounding pixels for the weighted convolution operation for noise diminishing. However, in the gradient filter, there is one negative integer in the weighting. The intensity value of the middle pixel might be deducted from the surrounding pixels, to enlarge the difference between the head-to-head pixels for calculating the gradients. This is one of the reasons due to which the gradient filter is not entirely optimistic, which may be calculated in eight directions. Therefore, the averaging filter has been utilized, which is an effective filter for image enhancement. This approach does not rely on the values that are completely diverse from distinctive values in the surrounding due to which it recollects the details of the image. The proposed approach significantly showed the best performance on various images collected in dynamic environments.

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Section: Introductionmentioning

confidence: 99%

An Ensembled Spatial Enhancement Method for Image Enhancement in Healthcare

Ṣiddiqi

Alsirhani

2022

Journal of Healthcare Engineering

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“…The image enhancement technology can also be divided into two methods in spatial and frequency domain, mainly including histogram equalization [ 91 , 92 , 93 , 94 ], grayscale transformation [ 95 ], fuzzy technology [ 96 , 97 ], image smoothing [ 98 , 99 ], image sharpening [ 100 , 101 ] and two-dimensional empirical mode decomposition [ 102 , 103 ]. At present, histogram equalization is one of the most commonly used methods in the field of image enhancement.…”

Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning

confidence: 99%

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Wang¹,

Zhan²,

Bai³

et al. 2022

Micromachines

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At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate faults to ensure the safe and efficient operation of rotating machinery and improve the economic benefits of enterprises. When the state of a rotating machine deteriorates, the thermal energy that is much more than its normal operation will be generated due to the increase in the friction between the components or other factors. Therefore, using the infrared thermal camera to collect the infrared thermal images of rotating machinery and judge the health status of rotating machinery by observing the temperature distribution in the thermal images is often more rapid and effective than other technologies. Nevertheless, after decades of development, the research achievements of infrared thermography (IRT) and its application in various industrial fields are numerous and complex, and there is a lack of systematic sorting and summary of the achievements in this field. Accordingly, this paper summarizes the development and application of IRT as a non-contact and non-invasive tool for equipment condition monitoring and fault diagnosis, and introduces the basic theory of IRT, image processing technology and fault diagnosis methods of rotating machinery in detail. Finally, the review is summarized and some future potential topics are proposed, which will make the subject easier for beginners and non-experts to understand.

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“…The edge detection detects variations with differential operators in different grey-level gradients. It is broken down into two major categories [12], [16][17][18][19][20]:…”

Section: ░ 4 Edge Detection Operatorsmentioning

confidence: 99%

A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework

Varghese

Saroja

2022

IJEER

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Edge detection using a gradient-based detector is a gold-standard method for identifying and analyzing different edge points in an image. A hexagonal grid structure is a powerful architecture dominant for intelligent human-computer vision. This structure provides the best angle resolution, good packing density, high sampling efficiency, equidistant pixels, and consistent connectivity. Edge detection application on hexagonal framework provides more accurate and efficient computations. All the real-time hardware devices available capture and display images in rectangular-shaped pixels. So, an alternative approach to mimic hexagonal pixels using software approaches is modeled in this paper. In this research work, an innovative method to create a pseudo hexagonal lattice has been simulated and the performance is compared with various edge detection operators on the hexagonal framework by comparing the quantitative and qualitative metrics of the grayscale image in both square and hexagonal lattice. The quantitative performance of the edge detection on the hexagonal framework is compared based on the experimental facts. The pseudo-hexagonal lattice structure assures to be aligned toward the human vision.

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Image smoothing based on global sparsity decomposition and a variable parameter

Cited by 16 publications

References 36 publications

An Ensembled Spatial Enhancement Method for Image Enhancement in Healthcare

An Ensembled Spatial Enhancement Method for Image Enhancement in Healthcare

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework

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