Effect of wavelet filters on SFQ encoder performance for medical images
(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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- author
- Kumar, Krishna LU ; Gupta, Rajeev ; Kumar, Basant and Kumar, Chandrahas
- publishing date
- 2015-10-09
- 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
- 2024-05-01 03:10:11
@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}}, }