The Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance
The Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance
Files (excerpt)
Published date
2015-08
Resource type
Publisher
ISBN
ISSN
DOI
Call no.
Other identifier(s)
Edition
Copyrighted date
Language
eng
File type
application/pdf
Extent
6 pages
Other title(s)
Authors
Advisor
Other Contributor(s)
Citation
The 2015 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA2015), Bang Saen Beach, Chonburi, Thailand, Aug. 2015
Degree name
Degree level
Degree discipline
Degree department
Degree grantor
Abstract
In the research operation of Digital Signal Processing
(DSP) and Digital Image Processing (DIP), one of the most
essential obstacles is the image denoise algorithm by the reason of
a very large demand of high quality noise-free images therefore
there are many image denoise algorithms have been invented in
the time of two decades. Bilateral filter is one of the most
impressive and feasible algorithms, which is usually applied for
denoise propose, but the performance of the Bilateral filter is
substantially bank on three parameters: spatial variance,
radiometric variance and window size. Consequently, this paper
investigates the performance influence impact of spatial variance,
radiometric variance, window size for the Bilateral Filter in the
denoise propose. In the denoise experiment, Bilateral filter (BF)
is applied on three noisy standard images under five Gaussian
noise power levels and the best results in the PSNR prospective
point of view from deniose algorithm is picked. Moreover, an
optimal value of three parameters: spatial variance, radiometric
variance, window size, which make the performance of Bilateral
filter the highest PSNR, are extensively investigated for each
types of tested images and each noise powers.