SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES
Clarity of Terahertz image is essential at various security checkpoints to avoid life’s dangers and treats. However, Terahertz images are distorted by noise. Noise is frequently present in digital images during the image collection, coding, delivery, and processing phases. It is extremely difficult...
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| Format: | Article |
| Language: | Spanish |
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Universidad del Quindio
2022-05-01
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| Series: | Revista de Investigaciones Universidad del Quindío |
| Subjects: | |
| Online Access: | https://ojs.uniquindio.edu.co/ojs/index.php/riuq/article/view/853 |
| _version_ | 1811338556901163008 |
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| author | Samuel Danso Shang Liping Deng Hu Justice Odoom Liu Quancheng Mmer Mushtag |
| author_facet | Samuel Danso Shang Liping Deng Hu Justice Odoom Liu Quancheng Mmer Mushtag |
| author_sort | Samuel Danso |
| collection | DOAJ |
| description |
Clarity of Terahertz image is essential at various security checkpoints to avoid life’s dangers and treats. However, Terahertz images are distorted by noise. Noise is frequently present in digital images during the image collection, coding, delivery, and processing phases. It is extremely difficult to remove noise from digital images without prior knowledge of the noise model. Wavelet transforms have gained popularity as a tool for image denoising. In this paper, we advance a solution to this challenge using Global Threshold selection as well as wavelet transform filters. When compared to denoising Gaussian noise at the same percentage induced, biorthogonal is the most effective denoising filter for salt and pepper noise. As the salt and pepper noise increases from 20% to 60%, the hidden security image as our target varnishes or is overpowered by the induced salt and pepper noise. We discover that despite the fact that the bior 4.4 and sym4.0 wavelet transform filters prove powerful in denoising the image, it is still not clearer and that when an image is tainted by Gaussian noise, wavelet shrinkage denoising is nearly perfect in both bior4.4 and sym 4.0, whereas when the image is tainted by salt & pepper noise, wavelet shrinkage denoising is nearly perfect in both bior4.4 and sym 4.0.
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| first_indexed | 2024-04-13T18:12:38Z |
| format | Article |
| id | doaj.art-f7f524489d39462c82c040ace8870bfa |
| institution | Directory Open Access Journal |
| issn | 1794-631X 2500-5782 |
| language | Spanish |
| last_indexed | 2024-04-13T18:12:38Z |
| publishDate | 2022-05-01 |
| publisher | Universidad del Quindio |
| record_format | Article |
| series | Revista de Investigaciones Universidad del Quindío |
| spelling | doaj.art-f7f524489d39462c82c040ace8870bfa2022-12-22T02:35:49ZspaUniversidad del QuindioRevista de Investigaciones Universidad del Quindío1794-631X2500-57822022-05-0134110.33975/riuq.vol34n1.853SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGESSamuel Danso0Shang Liping1Deng Hu2Justice Odoom3Liu Quancheng4Mmer Mushtag5South West University of Science and TechnologySouth West University of Science and TechnologySouth West University of Science and TechnologySouth West University of Science and TechnologySouth West University of Science and TechnologySouth West University of Science and Technology Clarity of Terahertz image is essential at various security checkpoints to avoid life’s dangers and treats. However, Terahertz images are distorted by noise. Noise is frequently present in digital images during the image collection, coding, delivery, and processing phases. It is extremely difficult to remove noise from digital images without prior knowledge of the noise model. Wavelet transforms have gained popularity as a tool for image denoising. In this paper, we advance a solution to this challenge using Global Threshold selection as well as wavelet transform filters. When compared to denoising Gaussian noise at the same percentage induced, biorthogonal is the most effective denoising filter for salt and pepper noise. As the salt and pepper noise increases from 20% to 60%, the hidden security image as our target varnishes or is overpowered by the induced salt and pepper noise. We discover that despite the fact that the bior 4.4 and sym4.0 wavelet transform filters prove powerful in denoising the image, it is still not clearer and that when an image is tainted by Gaussian noise, wavelet shrinkage denoising is nearly perfect in both bior4.4 and sym 4.0, whereas when the image is tainted by salt & pepper noise, wavelet shrinkage denoising is nearly perfect in both bior4.4 and sym 4.0. https://ojs.uniquindio.edu.co/ojs/index.php/riuq/article/view/853Terahertz imagewavelet transformbiorthogonalGaussian noisesalt & pepper noise |
| spellingShingle | Samuel Danso Shang Liping Deng Hu Justice Odoom Liu Quancheng Mmer Mushtag SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES Revista de Investigaciones Universidad del Quindío Terahertz image wavelet transform biorthogonal Gaussian noise salt & pepper noise |
| title | SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES |
| title_full | SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES |
| title_fullStr | SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES |
| title_full_unstemmed | SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES |
| title_short | SECURITY INSPECTION IMAGE PROCESSING METHODS APPLYING WAVELET TRANSFORM FILTERS ON TERAHERTZ ACTIVE IMAGES |
| title_sort | security inspection image processing methods applying wavelet transform filters on terahertz active images |
| topic | Terahertz image wavelet transform biorthogonal Gaussian noise salt & pepper noise |
| url | https://ojs.uniquindio.edu.co/ojs/index.php/riuq/article/view/853 |
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