IEICE TRANSACTIONS on Fundamentals
Edge-Based Image Synthesis Model and Its Synthesis Function Design by the Wavelet Transform
Summary :
In this paper, a new image synthesis model based on a set of wavelet bases is proposed. In the proposed model, images are approximated by the sum of synthesis functions that are translated to image edge positions. By applying the proposed model to sketch-based image coding, no iterative image recovery procedure is required for image decoding. In the design of the synthesis functions, we define the synthesis functions as a linear combination of wavelet bases. The coefficients for wavelet bases are obtained from an iterative procedure. The vector quantization is applied to the vectors of the coefficients to limit the number of the synthesis functions. We apply the proposed synthesis model to the sketch-based image coding. Image coding experiments by eight synthesis functions and a comparison with the orthogonal transform methods are also given.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.1 pp.210-221
- Publication Date
- 2002/01/01
- Publicized
- Online ISSN
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- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Makoto NAKASHIZUKA, Hidetoshi OKAZAKI, Hisakazu KIKUCHI, "Edge-Based Image Synthesis Model and Its Synthesis Function Design by the Wavelet Transform" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 1, pp. 210-221, January 2002, doi: .
Abstract: In this paper, a new image synthesis model based on a set of wavelet bases is proposed. In the proposed model, images are approximated by the sum of synthesis functions that are translated to image edge positions. By applying the proposed model to sketch-based image coding, no iterative image recovery procedure is required for image decoding. In the design of the synthesis functions, we define the synthesis functions as a linear combination of wavelet bases. The coefficients for wavelet bases are obtained from an iterative procedure. The vector quantization is applied to the vectors of the coefficients to limit the number of the synthesis functions. We apply the proposed synthesis model to the sketch-based image coding. Image coding experiments by eight synthesis functions and a comparison with the orthogonal transform methods are also given.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_1_210/_p
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@ARTICLE{e85-a_1_210,
author={Makoto NAKASHIZUKA, Hidetoshi OKAZAKI, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Edge-Based Image Synthesis Model and Its Synthesis Function Design by the Wavelet Transform},
year={2002},
volume={E85-A},
number={1},
pages={210-221},
abstract={In this paper, a new image synthesis model based on a set of wavelet bases is proposed. In the proposed model, images are approximated by the sum of synthesis functions that are translated to image edge positions. By applying the proposed model to sketch-based image coding, no iterative image recovery procedure is required for image decoding. In the design of the synthesis functions, we define the synthesis functions as a linear combination of wavelet bases. The coefficients for wavelet bases are obtained from an iterative procedure. The vector quantization is applied to the vectors of the coefficients to limit the number of the synthesis functions. We apply the proposed synthesis model to the sketch-based image coding. Image coding experiments by eight synthesis functions and a comparison with the orthogonal transform methods are also given.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Edge-Based Image Synthesis Model and Its Synthesis Function Design by the Wavelet Transform
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 210
EP - 221
AU - Makoto NAKASHIZUKA
AU - Hidetoshi OKAZAKI
AU - Hisakazu KIKUCHI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2002
AB - In this paper, a new image synthesis model based on a set of wavelet bases is proposed. In the proposed model, images are approximated by the sum of synthesis functions that are translated to image edge positions. By applying the proposed model to sketch-based image coding, no iterative image recovery procedure is required for image decoding. In the design of the synthesis functions, we define the synthesis functions as a linear combination of wavelet bases. The coefficients for wavelet bases are obtained from an iterative procedure. The vector quantization is applied to the vectors of the coefficients to limit the number of the synthesis functions. We apply the proposed synthesis model to the sketch-based image coding. Image coding experiments by eight synthesis functions and a comparison with the orthogonal transform methods are also given.
ER -
English
