Image Denoising Menggunakan Wavelet Shrinkage  

Oleh:

Dwiandiyanta, B. Yudi

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Teknologi Industri vol. 8 no. 1 (Jan. 2004), page 39-50.
Topik: Image Denoising; Wavelet Shrinkage; Wavelet Thresholding; Walves Basis

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ83.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Techniques based on thresholding of wavelet coefficient are gaining popularity as approaches to denoising data.The main idea is transform the data into a diffrent basis, the wavelet basis , where the large coefficients in the new basis, the noise can be removed from the data.Denoising using wavelet includes three steps: Transform data into wavelet domain , shrink the empirical wavelet coefficient toward zero, and transform the shrunk coefficient back to the data domain.This paper using the hard, soft and Garrote shrinkage.

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