DocumentCode :
3160114
Title :
Energy Based Quantization for Image Compression Using Contourlet Transform
Author :
Veeraswamy, Kilari ; Mohan, B. Chandra ; Reddy, Y. V Bhaskar ; Kumar, S. Srinivas
Author_Institution :
ECE Dept., QISCET, Ongole, India
fYear :
2009
fDate :
27-29 Dec. 2009
Firstpage :
230
Lastpage :
234
Abstract :
This paper presents a new compression technique based on Contourlet Transform (CT) and energy based quantization. Double filter bank structure is used in CT. The Laplacian Pyramid (LP) is used to capture the point discontinuities, and then followed by a Directional Filter Bank (DFB) to link point discontinuities. The coefficients of down sampled low pass version of LP decomposed image are re-ordered in a pre-determined manner and prediction algorithm is used to reduce entropy (bits/pixel). In addition, the coefficients of CT are quantized based on the energy in the particular band. The superiority of proposed algorithm to JPEG is observed in terms of reduced blocking artifacts. The results are also compared with wavelet transform (WT). Superiority of CT to WT is observed when the image contains more contours.
Keywords :
Laplace equations; image coding; wavelet transforms; Laplacian Pyramid; contourlet transform; double filter bank structure; energy based quantization; image compression; wavelet transform; Image coding; Quantization; Contourlet Transform; Directional Filter Bank; Laplacian Pyramid; Quantization; Topological re-ordering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks and Communications, 2009. NETCOM '09. First International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-5364-1
Electronic_ISBN :
978-0-7695-3924-9
Type :
conf
DOI :
10.1109/NetCoM.2009.26
Filename :
5384000
Link To Document :
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