An adaptive 3-D discrete cosine transform coder for medical image compression

Tai, Shen-Chuan; Wu, Yulin; Lin, Changwei

doi:10.1109/4233.870036

Cited by 42 publications

(4 citation statements)

References 9 publications

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“…Noteworthy, since it has often been used as the benchmark for performance evaluation of 3D systems, the EZW-3D algorithm has been tested by many researchers. Among the numerous contributions are those described in [47] and [38,39,[48][49][50].…”

Section: D Spithmentioning

confidence: 98%

Trends in Medical Image Compression

Menegaz¹

2006

CMIR

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This paper presents an overview on the state-of-the-art in the field of medical image coding. After a summary of the more representative 2D and 3D compression algorithms, a versatile model-based coding scheme for threedimensional medical data is introduced. The potential of the proposed system is in the fact that it copes with many of the requirements characteristic of the medical imaging field without sacrificing compression efficiency. Among the most interesting features are progressively refinable up-to-lossless quality of the decoded information, object-based functionalities and the possibility to decode a single 2D image of the dataset. Furthermore, such features can be combined enabling a swift access to any two-dimensional object of any image of interest with refinable quality. The price to pay is a slight degradation of the compression performance. Though, the possibility to focus the decoding process on a specific region of a certain 2D image allows a very efficient access to the information of interest, which can be recovered to the desired up-to lossless quality. This is believed to be an important feature for a coding system meant to be used for medical applications, which largely compensates for the eventual loss in compression that could be implied.

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Section: D Spithmentioning

confidence: 98%

Trends in Medical Image Compression

Menegaz¹

2006

CMIR

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“…Due to this reason to compress medical images 3D coder is more suitable choice. In segmentation phase to generate the Huffman codes we have use a 3D zigzag scanning pattern instead of 2D zigzag scan (Tai et al, 2000).…”

Section: D-dct Coder For Medical Image Compressionmentioning

confidence: 99%

Image Compression: A Survey

Rehman¹,

Sharif²,

Raza³

2014

RJASET

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Image Compression is a demanding field in this era of communication. There is a need to study and analyze the literature for image compression, as the demand for images, video sequences and computer animation has increased at very high rate so that the increment is drastically over the years. Multimedia data whether graphics, audio, video data which is uncompress requires considerable transmission bandwidth and storage capacity. So this leads to the need of compression of images and all multimedia applications to save storage and transmission time. In this study we discuss different compression algorithms used to reduce size of images without quality reduction.

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“…Several techniques based on the three-dimensional discrete cosine transform (3D-DCT) have been proposed for volumetric data coding (Tai et al. 2000). Nevertheless, these techniques fail to provide lossless coding coupled with quality and resolution scalability, which is a significant drawback for teleradiology and telemedicine applications.…”

Section: Introductionmentioning

confidence: 99%

Volumetric medical image compression using 3D listless embedded block partitioning

Senapati

Prasad²,

Swain

et al. 2016

SpringerPlus

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This paper presents a listless variant of a modified three-dimensional (3D)-block coding algorithm suitable for medical image compression. A higher degree of correlation is achieved by using a 3D hybrid transform. The 3D hybrid transform is performed by a wavelet transform in the spatial dimension and a Karhunen–Loueve transform in the spectral dimension. The 3D transformed coefficients are arranged in a one-dimensional (1D) fashion, as in the hierarchical nature of the wavelet-coefficient distribution strategy. A novel listless block coding algorithm is applied to the mapped 1D coefficients which encode in an ordered-bit-plane fashion. The algorithm originates from the most significant bit plane and terminates at the least significant bit plane to generate an embedded bit stream, as in 3D-SPIHT. The proposed algorithm is called 3D hierarchical listless block (3D-HLCK), which exhibits better compression performance than that exhibited by 3D-SPIHT. Further, it is highly competitive with some of the state-of-the-art 3D wavelet coders for a wide range of bit rates for magnetic resonance, digital imaging and communication in medicine and angiogram images. 3D-HLCK provides rate and resolution scalability similar to those provided by 3D-SPIHT and 3D-SPECK. In addition, a significant memory reduction is achieved owing to the listless nature of 3D-HLCK.

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An adaptive 3-D discrete cosine transform coder for medical image compression

Cited by 42 publications

References 9 publications

Trends in Medical Image Compression

Trends in Medical Image Compression

Image Compression: A Survey

Volumetric medical image compression using 3D listless embedded block partitioning

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