Irreversible wavelet compression of radiological images based on visual threshold

B. K. Chandrika; P. Aparna; S. Sumam David

doi:10.1109/WIECON-ECE.2015.7443918

Irreversible wavelet compression of radiological images based on visual threshold

B. K. Chandrika
, P. Aparna
, S. Sumam David

Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Visually lossless irreversible coding permit compression algorithms to improve the compression gain without disturbing the visual image quality. This paper proposes a novel coding scheme in which wavelet based visual model is embedded into lossless compression algorithm to compress the volumetric medical image data. Obtained experimental results are compared with numerically lossless compression schemes such as Differential Pulse Code Modulation (DPCM), Joint Photographic Experts Group-Lossless (JPEG-LS), JPEG-2000 and High Efficiency Video Coding (HEVC). The proposed method achieves reduced bit rate without deteriorating the visual quality of the resulting images.

Original language	English
Title of host publication	2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	280-283
Number of pages	4
ISBN (Electronic)	9781467387866
DOIs	https://doi.org/10.1109/WIECON-ECE.2015.7443918
Publication status	Published - 29-03-2016
Event	IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015 - Dhaka, Bangladesh Duration: 19-12-2015 → 20-12-2015

Publication series

Name	2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015

Conference

Conference	IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015
Country/Territory	Bangladesh
City	Dhaka
Period	19-12-15 → 20-12-15

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/WIECON-ECE.2015.7443918

Cite this

Chandrika, B. K., Aparna, P., & David, S. S. (2016). Irreversible wavelet compression of radiological images based on visual threshold. In 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015 (pp. 280-283). Article 7443918 (2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIECON-ECE.2015.7443918

Chandrika, B. K. ; Aparna, P. ; David, S. Sumam. / Irreversible wavelet compression of radiological images based on visual threshold. 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 280-283 (2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015).

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title = "Irreversible wavelet compression of radiological images based on visual threshold",

abstract = "Visually lossless irreversible coding permit compression algorithms to improve the compression gain without disturbing the visual image quality. This paper proposes a novel coding scheme in which wavelet based visual model is embedded into lossless compression algorithm to compress the volumetric medical image data. Obtained experimental results are compared with numerically lossless compression schemes such as Differential Pulse Code Modulation (DPCM), Joint Photographic Experts Group-Lossless (JPEG-LS), JPEG-2000 and High Efficiency Video Coding (HEVC). The proposed method achieves reduced bit rate without deteriorating the visual quality of the resulting images.",

author = "Chandrika, \{B. K.\} and P. Aparna and David, \{S. Sumam\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015 ; Conference date: 19-12-2015 Through 20-12-2015",

year = "2016",

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doi = "10.1109/WIECON-ECE.2015.7443918",

language = "English",

series = "2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015",

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address = "United States",

}

Chandrika, BK, Aparna, P & David, SS 2016, Irreversible wavelet compression of radiological images based on visual threshold. in 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015., 7443918, 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 280-283, IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015, Dhaka, Bangladesh, 19-12-15. https://doi.org/10.1109/WIECON-ECE.2015.7443918

Irreversible wavelet compression of radiological images based on visual threshold. / Chandrika, B. K.; Aparna, P.; David, S. Sumam.
2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 280-283 7443918 (2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Irreversible wavelet compression of radiological images based on visual threshold

AU - Chandrika, B. K.

AU - Aparna, P.

AU - David, S. Sumam

PY - 2016/3/29

Y1 - 2016/3/29

N2 - Visually lossless irreversible coding permit compression algorithms to improve the compression gain without disturbing the visual image quality. This paper proposes a novel coding scheme in which wavelet based visual model is embedded into lossless compression algorithm to compress the volumetric medical image data. Obtained experimental results are compared with numerically lossless compression schemes such as Differential Pulse Code Modulation (DPCM), Joint Photographic Experts Group-Lossless (JPEG-LS), JPEG-2000 and High Efficiency Video Coding (HEVC). The proposed method achieves reduced bit rate without deteriorating the visual quality of the resulting images.

AB - Visually lossless irreversible coding permit compression algorithms to improve the compression gain without disturbing the visual image quality. This paper proposes a novel coding scheme in which wavelet based visual model is embedded into lossless compression algorithm to compress the volumetric medical image data. Obtained experimental results are compared with numerically lossless compression schemes such as Differential Pulse Code Modulation (DPCM), Joint Photographic Experts Group-Lossless (JPEG-LS), JPEG-2000 and High Efficiency Video Coding (HEVC). The proposed method achieves reduced bit rate without deteriorating the visual quality of the resulting images.

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UR - https://www.scopus.com/pages/publications/84971668292#tab=citedBy

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DO - 10.1109/WIECON-ECE.2015.7443918

M3 - Conference contribution

AN - SCOPUS:84971668292

T3 - 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015

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BT - 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 December 2015 through 20 December 2015

ER -

Chandrika BK, Aparna P, David SS. Irreversible wavelet compression of radiological images based on visual threshold. In 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 280-283. 7443918. (2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015). doi: 10.1109/WIECON-ECE.2015.7443918

Irreversible wavelet compression of radiological images based on visual threshold

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