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Restoration of wavelet-compressed images using adaptively masking smoothness constraints

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2 Author(s)
Jung Hoon Jung ; Dept. of Image Eng., Chung-Buk Nat. Univ., Seoul, South Korea ; Joon Ki Paik

The wavelet-compressed images suffer from coding artifacts, such as ringing and blurring, due to quantizing the transform coefficients. To reduce such coding artifacts, we propose a new image enhancement algorithm based on regularized iterative image restoration. The proposed algorithm uses multiple constraints to simultaneously suppress the coding artifacts and preserve the original high-frequency components. We also present the hierarchical implementation for the proposed algorithm. Spatial adaptivity plays a role in keeping the edge from spreading out to other pixels which have different directional characteristics

Published in:

Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:3 )

Date of Conference:

2000