Skip to main content

2025 | OriginalPaper | Buchkapitel

Enhancement of Brain MRI Images Using Analog Filters and Pole-Zero Placement Methods

verfasst von : Kavita Singh, Rajesh Kumar

Erschienen in: Proceedings of Third International Conference on Computational Electronics for Wireless Communications

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Image enhancement has a very crucial role in upgrading the visual quality and interpretability of digital images. In this study, we emphasize on the application of the Butterworth filter based on two different design techniques, namely analog filter design and pole-zero placement method for enhancing the MRI images. Several evaluation metrics are employed, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM), for evaluating the performance of the Butterworth filter. These metrics provide quantitative measures of the image enhancement quality and allow for comparison with other enhancement techniques. The Butterworth filter’s parameters, such as the cut-off frequency and filter order, are carefully selected to achieve optimal enhancement results. Experimental results demonstrate the effectiveness of the Butterworth filter in enhancing images. The filter’s ability to selectively enhance desired frequency components while preserving important image details leads to improved image quality and visual perception. The evaluation metrics consistently show significant improvements in terms of image quality, contrast enhancement, and preservation of image details. The outcomes of this research aid in the comprehension of the Butterworth filter's capabilities and its potential applications in image enhancement tasks. The proposed method can be applied in various domains, including medical imaging, remote sensing, and computer vision, to improve image quality, facilitate analysis, and aid in decision-making processes.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Butterworth S (1930) On the theory of filter amplifiers. Wireless Engineer 7(6):536–541 Butterworth S (1930) On the theory of filter amplifiers. Wireless Engineer 7(6):536–541
2.
Zurück zum Zitat Sridhar (2011) Digital image processing. Oxford University Press, Inc Sridhar (2011) Digital image processing. Oxford University Press, Inc
7.
Zurück zum Zitat Shukla V, Khandekar P, Khaparde A (2021) Analysis of filtering approaches to brain MRI in spatial domain. Int J Med Res Health Sci 10:63–69 Shukla V, Khandekar P, Khaparde A (2021) Analysis of filtering approaches to brain MRI in spatial domain. Int J Med Res Health Sci 10:63–69
10.
Zurück zum Zitat Zohaib M, Shan A, Rahman AU, Ali H (2018) Image enhancement by using histogram equalization technique in Matlab Zohaib M, Shan A, Rahman AU, Ali H (2018) Image enhancement by using histogram equalization technique in Matlab
11.
Zurück zum Zitat Min A, Kyu ZM (2018) MRI images enhancement and brain tumor segmentation. Adv Sci Technol Eng Syst J 3:339–346. Zohaib M, Shan A, Rahman AU, Ali H (2018) Image enhancement by using histogram equalization technique in Matlab. https://doi.org/10.25046/aj030642 Min A, Kyu ZM (2018) MRI images enhancement and brain tumor segmentation. Adv Sci Technol Eng Syst J 3:339–346. Zohaib M, Shan A, Rahman AU, Ali H (2018) Image enhancement by using histogram equalization technique in Matlab. https://​doi.​org/​10.​25046/​aj030642
13.
Zurück zum Zitat Chow LS, Paramesran R (2016) Review of medical image quality assessment. Biomed Signal Process Control 27:145–154 Chow LS, Paramesran R (2016) Review of medical image quality assessment. Biomed Signal Process Control 27:145–154
Metadaten
Titel
Enhancement of Brain MRI Images Using Analog Filters and Pole-Zero Placement Methods
verfasst von
Kavita Singh
Rajesh Kumar
Copyright-Jahr
2025
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-1943-3_11