Model-based edge reconstruction for low bit-rate wavelet-based image coding
- Resource Type
- Conference
- Authors
- Fan, G.L.; Cham, W.K.; Liu, J.Z.
- Source
- Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) Acoustics, speech, and signal processing Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on. 5:2561-2564 vol.5 1998
- Subject
- Signal Processing and Analysis
Components, Circuits, Devices and Systems
Image reconstruction
Image coding
Quantization
Degradation
Reconstruction algorithms
Image storage
Wavelet analysis
PSNR
Image communication
Wavelet transforms
- Language
- ISSN
- 1520-6149
Low bit-rate image coding brings about an obvious degradation to the compressed images, among which, the distortions at the edges are particular objectionable. A model-based edge reconstruction algorithm is proposed for wavelet-based image coding at low bit-rate. Our approach applies a general model to represent the variety of edges existing in an image. Based on this model, the problem of edge reconstruction is formulated as finding the original edge model parameters from the lossy image. The proposed method is able to improve the subjective visual quality and fidelity (PSNR) of images coded by wavelet-based coding using zerotree quantization.