Tytuł:

An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration, Journal of Telecommunications and Information Technology, 2023, nr 1

Tytuł publikacji grupowej:

2023, nr 1, JTIT-artykuły

Autor:

Yaqoub, Qunoot A. ; Al-Ani, Ayad A.

Temat i słowa kluczowe:

inverse filter ; non-blind deconvolution ; constraint least square filter ; point spread function ; Richardson-Lucy algorithm ; Wiener filter ; Gaussian blurring function ; Gaussian noise function

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.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Data wydania:

2023, nr 1

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2023.168222

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności