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Effect of wavelet filters on SFQ encoder performance for medical images

Kumar, Krishna LU orcid ; Gupta, Rajeev ; Kumar, Basant and Kumar, Chandrahas (2015) 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 In 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
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... (More)

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.

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Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Medical Image Compression, SFQ, Wavelet Transforms
host publication
2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
series title
2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
editor
Molnar, Karol and Herencsar, Norbert
article number
7296436
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
conference location
Prague, Czech Republic
conference dates
2015-07-09 - 2015-07-11
external identifiers
  • scopus:84960146351
ISBN
9781479984985
DOI
10.1109/TSP.2015.7296436
language
English
LU publication?
no
additional info
Publisher Copyright: © 2015 IEEE.
id
e98cfd7b-7e0b-427a-b0f8-73fb0e4a88a4
date added to LUP
2024-04-15 13:41:37
date last changed
2024-04-30 09:46:37
@inproceedings{e98cfd7b-7e0b-427a-b0f8-73fb0e4a88a4,
  abstract     = {{<p>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.</p>}},
  author       = {{Kumar, Krishna and Gupta, Rajeev and Kumar, Basant and Kumar, Chandrahas}},
  booktitle    = {{2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015}},
  editor       = {{Molnar, Karol and Herencsar, Norbert}},
  isbn         = {{9781479984985}},
  keywords     = {{Medical Image Compression; SFQ; Wavelet Transforms}},
  language     = {{eng}},
  month        = {{10}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015}},
  title        = {{Effect of wavelet filters on SFQ encoder performance for medical images}},
  url          = {{http://dx.doi.org/10.1109/TSP.2015.7296436}},
  doi          = {{10.1109/TSP.2015.7296436}},
  year         = {{2015}},
}