IMAGE DENOISING BASED ON WAVELET SHRINKAGE USING NEIGHBOR AND LEVEL DEPENDENCY

DOI10.1142/S0219691309002945zbMath1170.42306MaRDI QIDQ3636481

Tien D. Bui, Dongwook Cho, Guangyi Chen

Publication date: 30 June 2009

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

zbMATH Keywords

wavelet shrinkagewavelet transformsImage denoisinglevel dependencyneighboring dependency

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) White noise theory (60H40)

Related Items (9)

DENOISING AND ENHANCEMENT OF MAMMOGRAPHIC IMAGES UNDER THE ASSUMPTION OF HETEROSCEDASTIC ADDITIVE NOISE BY AN OPTIMAL SUBBAND THRESHOLDING ⋮ A NOVEL METRIC BASED ON MCA FOR IMAGE QUALITY ⋮ WAVELET CHARACTERIZATION OF HARDY SPACE H¹ AND ITS APPLICATION IN VARIATIONAL IMAGE DECOMPOSITION ⋮ WAVELET CHARACTERIZATION OF DYADIC BMO NORM AND ITS APPLICATION IN IMAGE DECOMPOSITION FOR DISTINGUISHING BETWEEN TEXTURE AND NOISE ⋮ COMPARATIVE STUDY ON WAVELET FILTER AND THRESHOLDING SELECTION FOR GPS/INS DATA FUSION ⋮ Periodic wavelet descriptor of plant leaf and its application in botany ⋮ DAUBECHIES COMPLEX WAVELET TRANSFORM BASED MULTILEVEL SHRINKAGE FOR DEBLURRING OF MEDICAL IMAGES IN PRESENCE OF NOISE ⋮ Image denoising using local contrast and adaptive mean in wavelet transform domain ⋮ SCALE-INVARIANT V-TRANSFORM AND ITS APPLICATION TO SIGNAL DE-NOISING

Cites Work

• Spatially adaptive wavelet thresholding with context modeling for image denoising
• Adaptive wavelet thresholding for image denoising and compression
• A theory for multiresolution signal decomposition: the wavelet representation
• FRAME-BASED IMAGE DENOISING USING HIDDEN MARKOV MODEL
• Image denoising using scale mixtures of gaussians in the wavelet domain
• De-noising by soft-thresholding
• Embedded image coding using zerotrees of wavelet coefficients

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