Title :
Vaguelette-wavelet decomposition for real-time image restoration using directional wavelet bases
Author :
Kang, Wonseok ; Lee, Eunsung ; Kim, Sangjin ; Paik, Joonki
Author_Institution :
Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea
Abstract :
Conventional image restoration filters, such as Wiener filter, often exhibit either noise amplification or over-smoothing problem. On the other hand, advanced image restoration techniques, such as iterative regularization or combined Fourier and wavelet domain thresholding techniques, is not suitable for real-time application because of high computational overhead. For overcoming these problems, we adopt vaguelette-wavelet decomposition (VWD) approach to realtime, space-frequency adaptive image restoration based on the estimated point spread-function (PSF) and directional wavelet bases.
Keywords :
filtering theory; image restoration; optical transfer function; wavelet transforms; Fourier thresholding technique; Wiener filter; directional wavelet base; estimated point spread-function; image restoration filter; image restoration technique; iterative regularization; noise amplification; oversmoothing problem; space-frequency adaptive image restoration; vaguelette-wavelet decomposition approach; wavelet domain thresholding technique; Filtering algorithms; Image restoration; Low pass filters; Noise; Real time systems; Wavelet transforms;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722518
