Key Technoligies of Compress Algorithm with Edge Featuring Wavelet Transform

This paper describes and discusses egde perserving wavelet transform and edge coding.They are two key technologies for new progressive compress algorithm that focus on preserving the clarity of important image features,such as edges.With two technologies capture and encode the location of important edges in the images,new progressive algorithm preserving important edge feature that may be important for recognition and quick browse,even at low bit rates.At the same time,the paper gives experiment result at Matlab6.5 and analyses the result.

[1]  Guoliang Fan,et al.  Model-based edge reconstruction for low bit-rate wavelet-compressed images , 2000, IEEE Trans. Circuits Syst. Video Technol..

[2]  Geoff A. W. West,et al.  Nonparametric Segmentation of Curves into Various Representations , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[4]  Pamela C. Cosman,et al.  Feature-preserving image coding for very low bit rates , 2001, Proceedings DCC 2001. Data Compression Conference.

[5]  Pamela C. Cosman,et al.  Edge-enhanced image coding for low bit rates , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[6]  Pamela C. Cosman,et al.  Preserving step edges in low bit rate progressive image compression , 2003, IEEE Trans. Image Process..