2006 International Conference on Image Processing 2006
DOI: 10.1109/icip.2006.312613
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Spatially Continuous Orientation Adaptive Discrete Packet Wavelet Decomposition for Image Compression

Abstract: In this paper, we propose an orientation adaptive discrete wavelet transform (DWT) with perfect reconstruction. The proposed transform utilizes the lifting structure to effectively orient the 2D-DWT bases in the direction of local image features. A shifting operator is employed within each lifting step to align spatial geometric features along the vertical or horizontal directions. The proposed oriented transform generates a scalable representation for the image and the orientation information. To approximate … Show more

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Cited by 15 publications
(4 citation statements)
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References 11 publications
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“…As correlation persists, large magnitude coefficients that usually represent contours remain spatially co-located. Decorrelation of these coefficients to minimize their energy is of particular interest in wavelet-based image coding [1][2][3][4][5]12].…”
Section: Introductionmentioning
confidence: 99%
“…As correlation persists, large magnitude coefficients that usually represent contours remain spatially co-located. Decorrelation of these coefficients to minimize their energy is of particular interest in wavelet-based image coding [1][2][3][4][5]12].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the method in [13] uses the pixel values at fractional coordinates obtained by interpolation. Lifting is also implemented in [10] and in [15], where the wavelet packet decomposition is applied. However, even though these methods are computationally efficient and provide good compression results, they show a weaker performance when combined with zerotree-based compression algorithms.…”
mentioning
confidence: 99%
“…As correlation persists, large magnitude coefficients representing contours remain spatially colocated. As a result, current research efforts are focusing on the design of schemes able to decorrelate these coefficients or to minimize their energy [1][2][3][4][5]11].…”
Section: Introductionmentioning
confidence: 99%