Hybrid Image De-Noising using Wavelet

Name: Hybrid Image De-Noising using Wavelet
Brand: LAP LAMBERT Academic Publishing
SKU: 9786206180999
Price: 1053 CZK
Availability: InStock

Autor: Anuj Sharma, Gunjan Sethi

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 053 Kč

The modern era of visual description of technology, an easier and interesting approach, demands an i...

Informace o knize

Autor

Anuj Sharma, Gunjan Sethi

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

EAN

9786206180999

ISBN

6206180999

Enbook ID

43770089

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

Rozměry

150 x 220 x 4

Kompletní popis

The modern era of visual description of technology, an easier and interesting approach, demands an image exclusive of any sort of noise. The images usually bring different kinds of noise in the process of receiving, coding and transmission. The occurrence of noise in images of different modalities due to random variation degrades the quality of image. This increases an important issue of de-noising the images for generating a good quality image. There are many types of noises viz Salt & Pepper noise, Gaussian noise etc. which can decrease the quality of images. Image de-noising is an objective restoration process, in which our main aim is to recover an image that has been degraded by having prior knowledge. In previous decades de-noising of images were done using filtering techniques, methods and so far a lot of filtering methods. A lot of filtering methods have been proposed by the researchers in literature such as Wiener filtering and Wavelet based thresholding approach having Gaussian Noise.

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