IEICE TRANSACTIONS on Information
Conversion of Image Resolutions for High Quality Visual Communication
Summary :
This paper discusses the conversion of spatial resolution (pixel density) and amplitude resolution (levels of brightness) for multilevel images. A source image is sampled by an image scanner or a video camera, and a converted image is printed by a printer with the capability of higher spatial but lower amplitude resolution than the image input device. In the proposed method, the impulse response of the scanner sensor is modeled to obtain pixel values from the convolution of the impulse and the image signal. Discontinuous areas (edge) of the original image are detected locally according to the impulse model and neighbouring pixel values. The edge route is estimated which gives the pixel values for the output resolutions. Comparison of the proposed method with two conventional methods, reciprocal distance weight interpolation and pixel replication, shows higher edge quality for the proposed method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E76-D No.2 pp.251-258
- Publication Date
- 1993/02/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Computer Graphics and Pattern Recognition
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Saprangsit MRUETUSATORN, Hirotsugu KINOSHITA, Yoshinori SAKAI, "Conversion of Image Resolutions for High Quality Visual Communication" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 2, pp. 251-258, February 1993, doi: .
Abstract: This paper discusses the conversion of spatial resolution (pixel density) and amplitude resolution (levels of brightness) for multilevel images. A source image is sampled by an image scanner or a video camera, and a converted image is printed by a printer with the capability of higher spatial but lower amplitude resolution than the image input device. In the proposed method, the impulse response of the scanner sensor is modeled to obtain pixel values from the convolution of the impulse and the image signal. Discontinuous areas (edge) of the original image are detected locally according to the impulse model and neighbouring pixel values. The edge route is estimated which gives the pixel values for the output resolutions. Comparison of the proposed method with two conventional methods, reciprocal distance weight interpolation and pixel replication, shows higher edge quality for the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_2_251/_p
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@ARTICLE{e76-d_2_251,
author={Saprangsit MRUETUSATORN, Hirotsugu KINOSHITA, Yoshinori SAKAI, },
journal={IEICE TRANSACTIONS on Information},
title={Conversion of Image Resolutions for High Quality Visual Communication},
year={1993},
volume={E76-D},
number={2},
pages={251-258},
abstract={This paper discusses the conversion of spatial resolution (pixel density) and amplitude resolution (levels of brightness) for multilevel images. A source image is sampled by an image scanner or a video camera, and a converted image is printed by a printer with the capability of higher spatial but lower amplitude resolution than the image input device. In the proposed method, the impulse response of the scanner sensor is modeled to obtain pixel values from the convolution of the impulse and the image signal. Discontinuous areas (edge) of the original image are detected locally according to the impulse model and neighbouring pixel values. The edge route is estimated which gives the pixel values for the output resolutions. Comparison of the proposed method with two conventional methods, reciprocal distance weight interpolation and pixel replication, shows higher edge quality for the proposed method.},
keywords={},
doi={},
ISSN={},
month={February},}
Copy
TY - JOUR
TI - Conversion of Image Resolutions for High Quality Visual Communication
T2 - IEICE TRANSACTIONS on Information
SP - 251
EP - 258
AU - Saprangsit MRUETUSATORN
AU - Hirotsugu KINOSHITA
AU - Yoshinori SAKAI
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 1993
AB - This paper discusses the conversion of spatial resolution (pixel density) and amplitude resolution (levels of brightness) for multilevel images. A source image is sampled by an image scanner or a video camera, and a converted image is printed by a printer with the capability of higher spatial but lower amplitude resolution than the image input device. In the proposed method, the impulse response of the scanner sensor is modeled to obtain pixel values from the convolution of the impulse and the image signal. Discontinuous areas (edge) of the original image are detected locally according to the impulse model and neighbouring pixel values. The edge route is estimated which gives the pixel values for the output resolutions. Comparison of the proposed method with two conventional methods, reciprocal distance weight interpolation and pixel replication, shows higher edge quality for the proposed method.
ER -
English
