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The Vaguelette-Curvelet Decomposition for Image Deblurring
- Authors
- 조창훈; Katsaggelo, A.K.; 백준기
- Issue Date
- Jun-2013
- Publisher
- 대한전자공학회
- Keywords
- Vaguelette-curvelet decomposition; Fast discrete curvelet transform (FDCT); Image restoration
- Citation
- IEIE Transactions on Smart Processing & Computing, v.2, no.3, pp 140 - 147
- Pages
- 8
- Journal Title
- IEIE Transactions on Smart Processing & Computing
- Volume
- 2
- Number
- 3
- Start Page
- 140
- End Page
- 147
- ISSN
- 2287-5255
- Abstract
- We present a vaguelette-curvelet decomposition based image deblurring algorithm. We first perform denoising based on the hard-thresholding rule by estimating unknown curvelet coefficients. The proposed algorithm then calculates vaguelette functions by deconvolving the curvelet bases by the point spread function. Vaguelette transform is finally performed to make a clearly restored image. Since the proposed algorithm uses the curvelet transform to sensitively express the edges in all directions, it is possible to restore images with more naturally preserved edges in all directions.
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