Vaguelette-Wavelet Deconvolution via Compressive Sampling
Vaguelette-wavelet deconvolution (VWD) is known as a transform-based image restoration technique that involves applying wavelet-domain denoising to an observed image, followed by the Fourier-domain blur inversion, which can prevent noise amplification in conventional Fourier-domain deconvolution tec...
Main Authors: | Chihiro Tsutake, Toshiyuki Yoshida |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8698225/ |
Similar Items
-
Time-varying wavelet estimation and its applications in deconvolution and seismic inversion
by: Waskito Pranowo
Published: (2019-08-01) -
Convergence Gain in Compressive Deconvolution: Application to Medical Ultrasound Imaging
by: Bin Gao, et al.
Published: (2018-12-01) -
Understanding and evaluating blind deconvolution algorithms
by: Freeman, William, et al.
Published: (2009) -
Wavelet Video Compression
by: Fakeh, Rohmad
Published: (2006) -
Speech Compression Using Discrete Wavelet Transform
by: M.Ali Najih, Abdulmawla
Published: (2003)