Abstract
This paper proposes a natural and efficient way to achieve staircase reduction in texture extraction models of image processing. Moreover, we propose a precise framework for this amalgamation. In a sense, we utilize the best of both worlds: (I) the use of higher order derivatives through a variant of the Chambolle-Lions inf convolution energy (an image decomposition model in itself) along with (II) approximations to Meyer's G and E norms including the H-1 negative norm for ameliorating staircasing in image decomposition and restoration problems.
Original language | English (US) |
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Pages (from-to) | 464-486 |
Number of pages | 23 |
Journal | Journal of Visual Communication and Image Representation |
Volume | 18 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2007 |
Externally published | Yes |
Keywords
- Denoising
- Dual methods
- Image decomposition
- Oscillating patterns
- Staircase reduction
- Texture
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering