EVALUATE THE QUALITY OF PROCESSED IMAGES IN TERMS OF NOISE REDUCTION AND CONTOUR PRESERVATION

Wavelets are an interesting object of study of mathematics and a useful working tool in many applications such as image compression, signal / noise improvement, numerical analysis, in fields of science such as statistics, physics and even geology. For applications such as data compression, signal an...

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Bibliographic Details
Published inAnnals of the Academy of Romanian Scientists. Series on engineering sciences Vol. 12; no. 2; pp. 22 - 32
Main Authors DUMITRESCU, Cătălin, SEMENESCU, Augustin, MINEA, Marius, COSTEA, Ilona Madalina, CHIVA, Ionut - Cosmin
Format Journal Article
LanguageEnglish
Published Editura Academiei Oamenilor de Știință din România 01.12.2020
Subjects
image contour preservation
image processing
noise reduction
wavelet
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Summary:Wavelets are an interesting object of study of mathematics and a useful working tool in many applications such as image compression, signal / noise improvement, numerical analysis, in fields of science such as statistics, physics and even geology. For applications such as data compression, signal analysis, noise reduction, statistical estimation or detection, the method of processing wavelet coefficients differs from case to case. Also, the most useful properties of wavelet transformation differ from application to application. In this article we introduce a new filter with local statistics based on wavelet transforms to improve image quality, we introduce a measure for the quantitative evaluation of contour preservation after processing and describe a method for determining the noise dispersion in images.
ISSN:2066-6950
2066-8570
DOI:10.56082/annalsarscieng.2020.2.22