DocumentCode :
2410706
Title :
Curvelet Transform Based Embedded Lossy Image Compression
Author :
Manikandan, M. ; Saravanan, A. ; Bagan, Bhoopathy K.
Author_Institution :
Dept. of ECE, Anna Univ., Chennai
fYear :
2007
fDate :
22-24 Feb. 2007
Firstpage :
274
Lastpage :
276
Abstract :
Curvelet transform is one of the recently developed multiscale transform, which possess directional features and provides optimally sparse representation of objects with edges. In this paper an algorithm for lossy image compression based on the second generation digital curvelet transform is proposed. The results are compared with the results obtained from wavelet based image compression methods. Compression ratio and PSNR are selected as the performance metrics,and it is shown that curvelet transform require fewer coefficients than wavelet transform to represent an image faithfully
Keywords :
curvelet transforms; image coding; sparse matrices; transform coding; PSNR; compression ratio; embedded lossy image compression; performance metrics; second generation digital curvelet transform; sparse representation; Computational complexity; Continuous wavelet transforms; Filter bank; Frequency; Fusion power generation; Image coding; PSNR; Partitioning algorithms; Wavelet transforms; Wrapping; Wavelet transform; curvelet transform; digital coronization; embedded coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference on
Conference_Location :
Chennai
Print_ISBN :
1-4244-0997-7
Electronic_ISBN :
1-4244-0997-7
Type :
conf
DOI :
10.1109/ICSCN.2007.350745
Filename :
4156627
Link To Document :
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