REMOVING BLUR AND NOISE USING WIENER FILTER
Tejaswini N A
, Nuthimadugu Madhu priya , Swapna L B , Bharathi H M
Medical imaging,Wiener deconvolution,reduces noise
This study addresses the challenges of noise and blur
in image processing by utilizing Wiener filtering for
denoising and Wiener deconvolution for deblurring.
The process begins with adding Gaussian noise to a
grayscale image, followed by applying motion blur to
simulate camera movement. The Wiener filter
effectively reduces noise by estimating local image
statistics, enhancing image quality. Subsequently,
Wiener deconvolution is applied to reverse the
blurring effects using the known point spread function.
The results show significant improvements in image
clarity, highlighting the effectiveness of these
techniques in restoring images for applications in
photography, medical imaging, and remote sensing,
where high-quality visual data is crucial for accurate
analysis.
"REMOVING BLUR AND NOISE USING WIENER FILTER ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a395-a398, December-2024, Available :https://ijsdr.org/papers/IJSDR2412044.pdf
Volume 9
Issue 12,
December-2024
Pages : a395-a398
Paper Reg. ID: IJSDR_300045
Published Paper Id: IJSDR2412044
Downloads: 000347241
Research Area: Science and Technology
Country: Bengaluru, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
