IEICE TRANSACTIONS on Fundamentals
Switching Wavelet Transform for ROI Image Coding
Summary :
In region-of-interest (ROI) image coding based on wavelet transforms, the tap length of the wavelet filter as well as energy compaction characteristics affect the quality of the restored image. This paper presents a wavelet transform comprised of two wavelet filter sets with different tap lengths. The wavelet filter is switched to the shorter-length set to code a ROI of an image and to the longer-length one for the remaining region, the region of non-interest (RONI). ROI coding examples demonstrate that this switching wavelet transform provides better quality levels than fixed transforms under the same total bits; the quality of the recovered ROI is improved in the lossy coding of both regions while that of the full image is improved in the lossless coding of the ROI.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.7 pp.1995-2006
- Publication Date
- 2005/07/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.7.1995
- Type of Manuscript
- PAPER
- Category
- Image
Authors
Keyword
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Shinji FUKUMA, Toshihiko TANAKA, Masahiko NAWATE, "Switching Wavelet Transform for ROI Image Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 7, pp. 1995-2006, July 2005, doi: 10.1093/ietfec/e88-a.7.1995.
Abstract: In region-of-interest (ROI) image coding based on wavelet transforms, the tap length of the wavelet filter as well as energy compaction characteristics affect the quality of the restored image. This paper presents a wavelet transform comprised of two wavelet filter sets with different tap lengths. The wavelet filter is switched to the shorter-length set to code a ROI of an image and to the longer-length one for the remaining region, the region of non-interest (RONI). ROI coding examples demonstrate that this switching wavelet transform provides better quality levels than fixed transforms under the same total bits; the quality of the recovered ROI is improved in the lossy coding of both regions while that of the full image is improved in the lossless coding of the ROI.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.7.1995/_p
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@ARTICLE{e88-a_7_1995,
author={Shinji FUKUMA, Toshihiko TANAKA, Masahiko NAWATE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Switching Wavelet Transform for ROI Image Coding},
year={2005},
volume={E88-A},
number={7},
pages={1995-2006},
abstract={In region-of-interest (ROI) image coding based on wavelet transforms, the tap length of the wavelet filter as well as energy compaction characteristics affect the quality of the restored image. This paper presents a wavelet transform comprised of two wavelet filter sets with different tap lengths. The wavelet filter is switched to the shorter-length set to code a ROI of an image and to the longer-length one for the remaining region, the region of non-interest (RONI). ROI coding examples demonstrate that this switching wavelet transform provides better quality levels than fixed transforms under the same total bits; the quality of the recovered ROI is improved in the lossy coding of both regions while that of the full image is improved in the lossless coding of the ROI.},
keywords={},
doi={10.1093/ietfec/e88-a.7.1995},
ISSN={},
month={July},}
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TY - JOUR
TI - Switching Wavelet Transform for ROI Image Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1995
EP - 2006
AU - Shinji FUKUMA
AU - Toshihiko TANAKA
AU - Masahiko NAWATE
PY - 2005
DO - 10.1093/ietfec/e88-a.7.1995
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2005
AB - In region-of-interest (ROI) image coding based on wavelet transforms, the tap length of the wavelet filter as well as energy compaction characteristics affect the quality of the restored image. This paper presents a wavelet transform comprised of two wavelet filter sets with different tap lengths. The wavelet filter is switched to the shorter-length set to code a ROI of an image and to the longer-length one for the remaining region, the region of non-interest (RONI). ROI coding examples demonstrate that this switching wavelet transform provides better quality levels than fixed transforms under the same total bits; the quality of the recovered ROI is improved in the lossy coding of both regions while that of the full image is improved in the lossless coding of the ROI.
ER -
English
