Curvelet Transform Based Embedded Lossy Image Compression

Curvelet Transform Based Embedded Lossy Image Compression

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 propose...

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Bibliographische Detailangaben
Hauptverfasser: Manikandan, M., Saravanan, A., Bagan, K.B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computational complexity
Continuous wavelet transforms
curvelet transform
digital coronization
embedded coding
Filter bank
Frequency
Fusion power generation
Image coding
Partitioning algorithms
PSNR
Wavelet transform
Wavelet transforms
Wrapping
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Beschreibung
Zusammenfassung: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
DOI:10.1109/ICSCN.2007.350745