Effect of wavelet filters on SFQ encoder performance for medical images

Krishna Kumar; Rajeev Gupta; Basant Kumar; Chandrahas Kumar

doi:10.1109/TSP.2015.7296436

Effect of wavelet filters on SFQ encoder performance for medical images

Krishna Kumar, Rajeev Gupta, Basant Kumar, Chandrahas Kumar

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation [1]. It has been shown that the statistics of wavelet coefficients in the medical images can be better approximated by the Generalized Pareto distribution (for positive DWT coefficients) and Generalized Student-t distribution (for negative DWT coefficients) [2]. To analyze the performance of SFQ coder with different wavelet filters PSNR (peak signal to noise ratio) is measured at various compression rates.

Original language	English
Title of host publication	2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
Editors/authors	Karol Molnar, Norbert Herencsar
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479984985
DOIs	https://doi.org/10.1109/TSP.2015.7296436
Publication status	Published - 2015 Oct 9
Externally published	Yes
Event	2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 - Prague, Czech Republic Duration: 2015 Jul 9 → 2015 Jul 11

Publication series

Name	2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

Conference

Conference	2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
Country/Territory	Czech Republic
City	Prague
Period	2015/07/09 → 2015/07/11

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Subject classification (UKÄ)

Medical Imaging

Free keywords

Medical Image Compression
SFQ
Wavelet Transforms

Access to Document

10.1109/TSP.2015.7296436

Cite this

Kumar, K., Gupta, R., Kumar, B., & Kumar, C. (2015). Effect of wavelet filters on SFQ encoder performance for medical images. In K. Molnar, & N. Herencsar (Eds.), 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 Article 7296436 (2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TSP.2015.7296436

Kumar, Krishna ; Gupta, Rajeev ; Kumar, Basant et al. / Effect of wavelet filters on SFQ encoder performance for medical images. 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015. editor / Karol Molnar ; Norbert Herencsar. IEEE - Institute of Electrical and Electronics Engineers Inc., 2015. (2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015).

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title = "Effect of wavelet filters on SFQ encoder performance for medical images",

abstract = "This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation [1]. It has been shown that the statistics of wavelet coefficients in the medical images can be better approximated by the Generalized Pareto distribution (for positive DWT coefficients) and Generalized Student-t distribution (for negative DWT coefficients) [2]. To analyze the performance of SFQ coder with different wavelet filters PSNR (peak signal to noise ratio) is measured at various compression rates.",

keywords = "Medical Image Compression, SFQ, Wavelet Transforms",

author = "Krishna Kumar and Rajeev Gupta and Basant Kumar and Chandrahas Kumar",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 ; Conference date: 09-07-2015 Through 11-07-2015",

year = "2015",

month = oct,

day = "9",

doi = "10.1109/TSP.2015.7296436",

language = "English",

series = "2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

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Kumar, K, Gupta, R, Kumar, B & Kumar, C 2015, Effect of wavelet filters on SFQ encoder performance for medical images. in K Molnar & N Herencsar (eds), 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015., 7296436, 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015, IEEE - Institute of Electrical and Electronics Engineers Inc., 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015, Prague, Czech Republic, 2015/07/09. https://doi.org/10.1109/TSP.2015.7296436

Effect of wavelet filters on SFQ encoder performance for medical images. / Kumar, Krishna; Gupta, Rajeev; Kumar, Basant et al.
2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015. ed. / Karol Molnar; Norbert Herencsar. IEEE - Institute of Electrical and Electronics Engineers Inc., 2015. 7296436 (2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Effect of wavelet filters on SFQ encoder performance for medical images

AU - Kumar, Krishna

AU - Gupta, Rajeev

AU - Kumar, Basant

AU - Kumar, Chandrahas

PY - 2015/10/9

Y1 - 2015/10/9

N2 - This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation [1]. It has been shown that the statistics of wavelet coefficients in the medical images can be better approximated by the Generalized Pareto distribution (for positive DWT coefficients) and Generalized Student-t distribution (for negative DWT coefficients) [2]. To analyze the performance of SFQ coder with different wavelet filters PSNR (peak signal to noise ratio) is measured at various compression rates.

AB - This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation [1]. It has been shown that the statistics of wavelet coefficients in the medical images can be better approximated by the Generalized Pareto distribution (for positive DWT coefficients) and Generalized Student-t distribution (for negative DWT coefficients) [2]. To analyze the performance of SFQ coder with different wavelet filters PSNR (peak signal to noise ratio) is measured at various compression rates.

KW - Medical Image Compression

KW - SFQ

KW - Wavelet Transforms

UR - https://www.scopus.com/pages/publications/84960146351

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DO - 10.1109/TSP.2015.7296436

M3 - Paper in conference proceeding

AN - SCOPUS:84960146351

T3 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

BT - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

A2 - Molnar, Karol

A2 - Herencsar, Norbert

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

Y2 - 9 July 2015 through 11 July 2015

ER -

Kumar K, Gupta R, Kumar B, Kumar C. Effect of wavelet filters on SFQ encoder performance for medical images. In Molnar K, Herencsar N, editors, 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015. IEEE - Institute of Electrical and Electronics Engineers Inc. 2015. 7296436. (2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015). doi: 10.1109/TSP.2015.7296436

Effect of wavelet filters on SFQ encoder performance for medical images

Abstract

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Free keywords

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