Gradient flow optimization for reducing blocking effects of transform coding

Feng Gao; Xiaokun Li; Xun Wang; William Wee

International Journal of Applied Mathematics and Computer Science (2004)

  • Volume: 14, Issue: 1, page 105-111
  • ISSN: 1641-876X

Abstract

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This paper addresses the problem of reducing blocking effects in transform coding. A novel optimization approach using the gradient flow is proposed. Using some properties of the gradient flow on a manifold, an optimized filter design method for reducing the blocking effects is presented. Based on this method, an image reconstruction algorithm is derived. The algorithm maintains the fidelity of images while reducing the blocking effects. Experimental tests demonstrate that the presented algorithm is effective.

How to cite

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Gao, Feng, et al. "Gradient flow optimization for reducing blocking effects of transform coding." International Journal of Applied Mathematics and Computer Science 14.1 (2004): 105-111. <http://eudml.org/doc/207671>.

@article{Gao2004,
abstract = {This paper addresses the problem of reducing blocking effects in transform coding. A novel optimization approach using the gradient flow is proposed. Using some properties of the gradient flow on a manifold, an optimized filter design method for reducing the blocking effects is presented. Based on this method, an image reconstruction algorithm is derived. The algorithm maintains the fidelity of images while reducing the blocking effects. Experimental tests demonstrate that the presented algorithm is effective.},
author = {Gao, Feng, Li, Xiaokun, Wang, Xun, Wee, William},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {optimization; gradient flow; transform coding; blocking effects},
language = {eng},
number = {1},
pages = {105-111},
title = {Gradient flow optimization for reducing blocking effects of transform coding},
url = {http://eudml.org/doc/207671},
volume = {14},
year = {2004},
}

TY - JOUR
AU - Gao, Feng
AU - Li, Xiaokun
AU - Wang, Xun
AU - Wee, William
TI - Gradient flow optimization for reducing blocking effects of transform coding
JO - International Journal of Applied Mathematics and Computer Science
PY - 2004
VL - 14
IS - 1
SP - 105
EP - 111
AB - This paper addresses the problem of reducing blocking effects in transform coding. A novel optimization approach using the gradient flow is proposed. Using some properties of the gradient flow on a manifold, an optimized filter design method for reducing the blocking effects is presented. Based on this method, an image reconstruction algorithm is derived. The algorithm maintains the fidelity of images while reducing the blocking effects. Experimental tests demonstrate that the presented algorithm is effective.
LA - eng
KW - optimization; gradient flow; transform coding; blocking effects
UR - http://eudml.org/doc/207671
ER -

References

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  9. Reeve H.C. and Lim J.S. (1984): Reduction of blocking effects in image coding. - Opt. Eng., Vol. 23, No. 1, pp. 34-37. 
  10. Rosenholtz R. and Zakhor A. (1992): Iterative procedures for reduction of blocking effects in transform image coding. - IEEE Trans. Circ. Syst. Video Technol., Vol. 2, No. 1, pp. 91-94. 
  11. Won C.S. and Derin H. (1992): Unsupervised segmentation ofnoisy and textured images using Markov random fields. - CVGIP: Graph. Mod. Image Process., Vol. 54, No. 4, pp. 308-328. 
  12. Yang Y., Galatsanos N.P. and Katsaggelos A.K. (1993): Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images. - IEEE Trans. Circ. Syst.[Video Technol]., Vol. 3, No. 6, pp. 421-432. 
  13. Yang Y., Galatsanos N.P. and Katsaggelos A.K. (1995): Projection-based spatially adaptive reconstruction of block-transform compressed images. - IEEE Trans. Image Process., Vol. 4, No. 7, pp. 896-908. 

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