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- 斉藤 文彦
- 岐阜大学
書誌事項
- タイトル別名
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- Magnification of Gray-leveled Image Using Genetic Algorithm
- イデンテキ アルゴリズム オ モチイタ ノウタン ガゾウ ノ カクダイ ショリ
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In the magnification process of a digital gray-leveled image, the image quality often becomes inferior because of dull edges or block noises. This paper proposes a method to determine appropriate gray levels of all pixels in a magnified image using a genetic algorithm in order to obtain the magnified image with sharp edges. The gray level of each pixel that is estimated by the nearest neighbor interpolation is changed dynamically in the range of gray levels included in the neighbor pixels. The fitness of an individual is evaluated by the spatial differential values included in the magnified image Experimental results show that the magnified images by the proposed method have sharpness compared with the conventional magnification method. Also, the higher SN ratios between the magnified images and the original images were obtained.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 120 (2), 244-251, 2000
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204610021760
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- NII論文ID
- 130006845271
- 10006759404
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4973452
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- データソース種別
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- JaLC
- NDL
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