This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To improve image quality, the sharpness must be adjusted to an optimal value. This paper shows a new method to evaluate sharpness without MTF. It is considered that the human visual system judges image sharpness mainly based upon edge area features. Therefore, attention is paid to the high spatial frequency components in the edge area. The value is defined by the average intensity of the high spatial fequency components in the edge area. This is called the image
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Akira INOUE, Johji TAJIMA, "Adaptive Image Sharpening Method Using Edge Sharpness" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 10, pp. 1174-1180, October 1993, doi: .
Abstract: This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To improve image quality, the sharpness must be adjusted to an optimal value. This paper shows a new method to evaluate sharpness without MTF. It is considered that the human visual system judges image sharpness mainly based upon edge area features. Therefore, attention is paid to the high spatial frequency components in the edge area. The value is defined by the average intensity of the high spatial fequency components in the edge area. This is called the image
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_10_1174/_p
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@ARTICLE{e76-d_10_1174,
author={Akira INOUE, Johji TAJIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Adaptive Image Sharpening Method Using Edge Sharpness},
year={1993},
volume={E76-D},
number={10},
pages={1174-1180},
abstract={This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To improve image quality, the sharpness must be adjusted to an optimal value. This paper shows a new method to evaluate sharpness without MTF. It is considered that the human visual system judges image sharpness mainly based upon edge area features. Therefore, attention is paid to the high spatial frequency components in the edge area. The value is defined by the average intensity of the high spatial fequency components in the edge area. This is called the image
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Adaptive Image Sharpening Method Using Edge Sharpness
T2 - IEICE TRANSACTIONS on Information
SP - 1174
EP - 1180
AU - Akira INOUE
AU - Johji TAJIMA
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1993
AB - This paper proposes a new method for automatic improvement in image quality through adjusting the image sharpness. This method does not need prior knowledge about image blur. To improve image quality, the sharpness must be adjusted to an optimal value. This paper shows a new method to evaluate sharpness without MTF. It is considered that the human visual system judges image sharpness mainly based upon edge area features. Therefore, attention is paid to the high spatial frequency components in the edge area. The value is defined by the average intensity of the high spatial fequency components in the edge area. This is called the image
ER -