Performance Analysis of Wiener filter in Restoration of Covid-19 Chest X-Ray Images, Ultrasound Images and Mammograms
2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022
; : 326-331, 2022.
Article
in English
| Scopus | ID: covidwho-2051922
ABSTRACT
Medical images such as X-Ray images, Mammograms and Ultrasound images are very useful diagnostic techniques used for understanding the functions of different internal organs, bones, tissues, etc. Most of the times these medical images are degraded by some noises and different kinds of blur. Image blurring and degradation leads to loss of quality of images which in hand causes difficulty in proper diagnosis. This paper emphases on the efficacy of Wiener filter in image de blurring and denoising Chest X-Ray of Covid-19 patients, ultrasound images of fetal abdominal cyst, umbilical cord cyst and Common Carotid Artery, Mammogram of both pathological and non-pathological breasts. Performance of Wiener filter is analyzed using image restoration parameters like Structural Similarity (SSIM), Histogram, Peak Signal to Noise Ratio and Mean Square Error. © 2022 IEEE.
Covid-19; Image de blurring; Mammogram; Ultrasound images; Wiener filter; X-Ray; Image analysis; Image denoising; Image quality; Image reconstruction; Mammography; Restoration; Signal to noise ratio; Ultrasonics; X ray screens; Chest X-ray image; Diagnostics techniques; Image deblurring; Mammogram images; Performances analysis; X-ray image; Mean square error
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022
Year:
2022
Document Type:
Article
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