Image denoising using wavelet transform and CUDA

Hovhannes M. Bantikyan

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Title: Image denoising using wavelet transform and CUDA

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0131-4645

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Պատկերում աղմուկի հեռացում վեյվլեթ ձևափոխության և CUDA տեխնոլոգիայի կիրառմամբ; Шумоподавление изображения с использованием вейвлет преобразования и CUDA

Coverage:

122-130

Abstract:

The discrete wavelet transform has a huge number of applications in science,engineering, mathematics and computer science. Most notably, it is used for signal coding to represent a discrete signal in a more redundant form, often as a preconditioning for data compression. Beginning in the 1990s, wavelets have been found to be a powerful tool for removing noise from a variety of signals (denoising). In this paper the implementation of DWT (Discrete Wavelet Transform)-based denoising algorithm in parallel manner on Graphics Processing Unit is presented, using the CUDA technology.

Publisher:

АН Арм. ССР

Date created:

2014-09-10

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pdf

Identifier:

oai:arar.sci.am:258810

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ՀՀ ԳԱԱ Հիմնարար գիտական գրադարան

Subject and keywords:

Mathematics Computer software Բանտիկյան Հ. Бантикян О.

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Digital Library > Articles

Last modified:

Aug 18, 2025

In our library since:

Jul 24, 2020

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https://arar.sci.am/publication/281927

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Image denoising using wavelet transform and CUDA	Aug 18, 2025

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Title: Image denoising using wavelet transform and CUDA

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