Research on denoising processing of computer video electromagnetic leakage reduction image based on fuzzy degree

Miao, Chunwei

doi:10.1186/s13640-018-0405-4

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…The adjacencies are arranged for the point that the optimization is to be done, and it is among them, then determine the largest value of those neighbors and put them in the variable max, then determine the lowest value of the neighborhoods and put them in the variable min [3], [9].…”

Section: Figure 1: Map For Filter Processing With Image Pixelmentioning

confidence: 99%

“…He stated that the coring function was generated by using the theoretical results and then applied and tested on a set of images .While, James Ellenberger presented in 2010 a paper "Noise Reduction in Digital Photography -Exploring the State of the Art". In it, he mentioned that a great effort has been made in recent years in developing algorithms to reduce the noise that accompanies all digital images, In order to distinguish the original image from the noise that occurred on it [3].…”

Section: Introductionmentioning

confidence: 99%

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Noise Removal From Movies by Using Hybrid Smooth Algorithms

Alani,

Ali,

Ali

2023

ijcsm

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Hybrid algorithms are increasingly being employed to reduce noise from videos and images. In this study, new hybrid method was used to eliminate noise from movies by first converting the movies to frames, then the frames to images which the suggested algorithm has been applied. This study aims to create the most noise-free, closest-possible copies of the original movie images in order to produce the purest movie possible. Two traditional images noise removal algorithms were integrated into the suggested algorithm. That is to say, Median filter and the conservative smoothing filter (max &min) algorithms were implemented sequentially by utilizing Matlab software version (2016R).The outcomes of this research improve the proposed algorithm's efficacy when compared to the behavior of currently applied existing algorithms for removing noise from images. In order to evaluate our process in this study, a movie with more than 300 frames was used. Frame models were chosen, and the algorithms were then applied to the frame images. The results show that the proposed hybrid algorithm performed much better than the median and conservative smoothing algorithms in all of the selected frames while tested statically by utilizing both criteria Root Mean Square Error (RMSe) and Normalization Correlation Coefficient (NCC) values which improve the hybrid algorithm the best for removing noise from sample frames.

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Section: Figure 1: Map For Filter Processing With Image Pixelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Noise Removal From Movies by Using Hybrid Smooth Algorithms

Alani,

Ali,

Ali

2023

ijcsm

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“…The decrease in information and interpretation quality of an aerial image due to deep shadows and a high random noise Methods of random image noise assessment:visually, at large magnification of flat uniform surfaces (water, flat roofs), areas of shadows from high-rise objects (multi-storey buildings, etc. ), as shown in Figure12, numerically, by calculating the root-mean-square deviation (RMS) of noise, using specialized software that implement the appropriate algorithms (for example, method of harmonic analysis)(Lapshenkov, 2012;Lapshenkov, 2013;Miao, 2019; Chen, Zhang et al, 2019).…”

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confidence: 99%

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Anikeeva¹,

Чибуничев

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The quality of cartographic products, obtained on base of aerial images, depends on their quality. The image‘s quality can be defined in terms of measurement characteristics and in it’s visual properties. The object of the paper is an aerial image’s quality, concerning its visual perception. The process of topographic aerial images quality assessing is currently not regulated, therefore, this problem becomes particularly relevant today. The article is devoted to development the quality criteria system for aerial images, obtained for mapping purposes, and definition the requirements for them. The analysis of factors affecting the quality of aerial images is carried out, they include natural conditions, technical and technological parameters of aerial surveying and images post-processing. The main imperfections of image quality, appearing as a result of these factors influence are determined – blurring, high level of random image noise, haze, color imbalance, loss of information in shadows and illumination. Methods of identifying these imperfections and assessing their influence on aerial images quality are shown.

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