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

Sánchez, Vı́ctor; Abugharbieh, Rafeef; Nasiopoulos, Panos

doi:10.1109/tmi.2009.2012899

Cited by 74 publications

(39 citation statements)

References 23 publications

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“…a Original image and b dominant symmetry axis with some other similar algorithms (Fig. 10) [14,15]. The complexity of developed method is less as compared to algorithm mentioned in [15].…”

Section: Discussionmentioning

confidence: 99%

Symmetry-Based Biomedical Image Compression

Bairagi¹

2015

J Digit Imaging

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Image compression techniques aim at reducing the amount of data needed to accurately represent an image, such that the image can be economically transmitted or archived. This paper deals with employing symmetry as a parameter for compression of biomedical images. The approach presented in this paper offers great potential in complete lossless compression of the biomedical image under consideration, with the reconstructed image being mathematically identical to the original image. The method comprises getting rid of the redundant data and encoding the non-redundant data for the purpose of regenerating the image at the receiver section without any observable change in the image data.

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“…a Original image and b dominant symmetry axis with some other similar algorithms (Fig. 10) [14,15]. The complexity of developed method is less as compared to algorithm mentioned in [15].…”

Section: Discussionmentioning

confidence: 99%

Symmetry-Based Biomedical Image Compression

Bairagi¹

2015

J Digit Imaging

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“…Contextual vector quantization is employed in [7], and 3D wavelet coders are used in [29]. A symmetry-based approach is discussed in [1,28]. Although these methods have been proven to be efficient for medical image compression, it is not possible to run them on a CPU fast enough to provide 25 fps for on-the-fly decompression, particularly in the case of medium or low-end devices.…”

Section: Image Compressionmentioning

confidence: 99%

Compression of Image Sequences in Interactive Medical Teleconsultations

Malawski¹,

Czekierda²

2017

csci

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Interactive medical teleconsultations are an important tool in modern medical practice. Their applications include remote diagnostics, conferences, workshops, and classes for students. In many cases, standard medium or low-end machines are employed, and the teleconsultation systems must be able to provide a high quality of user experience with very limited resources. Particularly problematic are large datasets consisting of image sequences that need to be accessed fluently. The main issue is insufficient internal memory; therefore, proper compression methods are crucial. However, a scenario where image sequences are kept in a compressed format in the internal memory and decompressed onthe-fly when displayed is difficult to implement due to performance issues. In this paper, we present methods for both lossy and lossless compression of medical image sequences that only require compatibility with the Pixel Shader 2.0 standard, which is present even on relatively old, low-end devices. Based on the evaluation of quality, size reduction, and performance, these methods have been proven to be suitable and beneficial for medical teleconsultation applications.

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“…Symmetry based scalable lossless image compression can be seen in study performed by Sanchez et al [21]. The author have furnished a wavelet based technique for the purpose of compression for three dimensional medical image.…”

Section: Symmetry-based Scalable Lossless Compressionmentioning

confidence: 99%

A Review of the Effective Techniques of Compression in Medical Image Processing

Suma¹,

Sridhar²

2014

IJCA

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Medical image data (Ultrasonography, Computed Tomography, Magnetic Resonance Imaging etc.) consumes maximum storage and utilize maximum bandwidth for transmission that often results in degradation of image quality. Due to these inherent issues in such type of images, compression is the only applicable technique explored in the due course of prior research work. Currently, there exists abundant research work on medical image compression considering lossy and lossless types, but the need of medical images to be compressed efficiently with optimal compression ratio is yet a question mark. This paper will perform an investigation of various techniques explored and discusses some of the efficient techniques explicitly among all the prior work. While reviewing the prior literatures, it was explored that although medical image compression is an emerging need, but it encounters higher dimensionality of challenges and complicatedness for catering the increasing demands of the medical science.

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

Cited by 74 publications

References 23 publications

Symmetry-Based Biomedical Image Compression

Symmetry-Based Biomedical Image Compression

Compression of Image Sequences in Interactive Medical Teleconsultations

A Review of the Effective Techniques of Compression in Medical Image Processing

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