Wavelet image compression - the quadtree coding approach

Munteanu, Adrian; Cornelis, Jan; Auwera, Geert Van Der; Cristea, Paul Dan

doi:10.1109/4233.788579

Cited by 93 publications

(41 citation statements)

References 34 publications

(45 reference statements)

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“…Here, the zero regions of the significance maps are represented by a set of independent rectangular zero regions of fixed and variable sizes. Examples of such methods are the embedded block coding with optimized truncation (EBCOT) [7] and the square partitioning (SPQ) algorithms [18]. The coding gains resulting from using intraband coding have been reported in [19] and [20].…”

Section: A Block-based Intraband Prediction Methodsmentioning

confidence: 99%

Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data

Sánchez

Abugharbieh

Nasiopoulos

2009

IEEE Trans. Med. Imaging

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Abstract-We propose a novel symmetry-based technique for scalable lossless compression of 3D medical image data. The proposed method employs the 2D integer wavelet transform to decorrelate the data and an intraband prediction method to reduce the energy of the sub-bands by exploiting the anatomical symmetries typically present in structural medical images. A modified version of the embedded block coder with optimized truncation (EBCOT), tailored according to the characteristics of the data, encodes the residual data generated after prediction to provide resolution and quality scalability. Performance evaluations on a wide range of real 3D medical images show an average improvement of 15% in lossless compression ratios when compared to other state-of-the art lossless compression methods that also provide resolution and quality scalability including 3D-JPEG2000, JPEG2000, and H.264/AVC intra-coding.

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Section: A Block-based Intraband Prediction Methodsmentioning

confidence: 99%

Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data

Sánchez

Abugharbieh

Nasiopoulos

2009

IEEE Trans. Med. Imaging

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“…The main reason for the existence of these dependencies is the smoothness of the surface. Wavelet coding paradigms that exploit the intraband dependencies between the wavelet coefficients are known as intraband wavelet codecs such as block-based coding techniques (Munteanu et al, 1999a), quadtree coding approaches (Munteanu et al, 1999b), and the EBCOT codec employed in the JPEG-2000 scalable image coding standard (Taubman, 2000).…”

Section: Analysis Of Wavelet Coefficient Dependenciesmentioning

confidence: 99%

“…Remeshing together with subdivision-based multiresolution (Lounsbery et al, 1997) are the two major components of the second category of codecs which use space-frequency dilation methods such as wavelet transforms to decorrelate the input mesh data (Khodakovsky et al, 2000), (Denis et al, 2010b). The generated wavelet coefficients are compressed using tree-based bit-plane coding methods (Shapiro, 1993), (Munteanu et al, 1999b) to achieve high compression efficiency. Multiresolution mesh compression techniques provide substantial compression gains compared to their competing schemes, and in this chapter we will confine our discussion to these techniques only.…”

Section: Introductionmentioning

confidence: 99%

Optimized Scalable Wavelet-Based Codec Designs for Semi-Regular 3D Meshes

Satti¹,

Denis²,

Florea³

et al. 2012

Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

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“…The algorithm proceeds to step 4 when the threshold is met. Finally, the encoding bits access entropy coding and then transmit (Xiong et al, 1997;Munteanu et al, 1999).…”

Section: Thresholdingmentioning

confidence: 99%

Medical images compression for remote diagnosis using modified SPIHT data organization and fidelity enhancement filter

Chen

2007

Int J Imaging Syst Tech

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In this work, an 8 3 8 Discrete Cosine Transform (DCT) approach is adopted to perform DCT shrinkage, followed by modified set partitioning in hierarchical trees (SPIHT) data organization and fidelity enhancement filter for reducing the memory required to store a remote diagnosis and rapidly transmit it. The DCT shrinkage has the ability to retain the detailed characteristics of an image. By means of a simple transformation to gather the DCT spectrum data with the same frequency domain, the DCT shrinkage exploits all the characteristics of individual blocks to a global framework. In this scheme, insignificant DCT coefficients that correspond to the same spatial location in the high-frequency sub-bands can be used to reduce the redundancy by a combined function proposed in association with the modified SPIHT. Meanwhile, quad-tree decomposition and a set of morphological filters for reducing the artifacts are presented. This set of filters employs 8 predefined morphological operations, namely 4 structuring elements (SE), each of which includes both dilation and erosion operations. The voting strategy is used to select the most suitable morphological filter for each block. Simulation results show that the image compression reduced the computational complexity to only a half of the wavelet based sub-band decomposition and improved the quality of the reconstructed medical image in terms of both the peak signal-to-noise ratio (PSNR) and the perceptual results close to JPEG2000 and the original SPIHT at the same bit rate.

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Wavelet image compression - the quadtree coding approach

Cited by 93 publications

References 34 publications

Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data

Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data

Optimized Scalable Wavelet-Based Codec Designs for Semi-Regular 3D Meshes

Medical images compression for remote diagnosis using modified SPIHT data organization and fidelity enhancement filter

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