- Tytuł:
- An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration
- Autorzy:
-
Yaqoub, Qunoot A.
Al-Ani, Ayad A. - Powiązania:
- https://bibliotekanauki.pl/articles/2200960.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
constraint least square filter
Gaussian blurring function
Gaussian noise function
inverse filter
non-blind deconvolution
point spread function
Richardson-Lucy algorithm
Wiener filter - Opis:
- Image restoration is the process of estimating the original image content from a degraded picture. In this paper, the Richardson-Lucy iterative algorithm was developed to improve the quality of degraded medical images. It has been assumed that medical images are exposed to two types of degradation. The first type is the blur function in the Gaussian form with different widths, i.e. σ = 1 , 2, and 3. The second type of degradation was assumed to be of the independent white Gaussian noise type with different signal-to-noise ratio values: SNR = 10, 50 , and 100. The results obtained from the adaptive filter are compared, quantitatively, with different conventional filters: inverse, Wiener, and constraint least square, by applying different measures, such as: power signal to noise ratio (PSNR), structural similarity index (SSID), and root mean square error (RMSE). The comparison showed that the adaptive recovery filter achieves better results.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2023, 1; 66--77
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł