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Automatic detection of blurred images from color negative film.
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- SATOH Yasuaki
- Department of Information and Computer Sciences, Chiba University
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- MIYAKE Yoichi
- Department of Information and Computer Sciences, Chiba University
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- YAGUCHI Hirohisa
- Department of Information and Computer Sciences, Chiba University
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- KOYAMA Motoo
- Department of Information and Computer Sciences, Chiba University
Bibliographic Information
- Other Title
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- カラーネガフィルムからのボケ画像の検出
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Description
In the photographic printing process, it is important to reject blurred images on color negative films. This is usually done by the judgement of photofinishing expert. Therefore, it is necessary to detect blurred images automatically for a better productivity in the printing operation. Although it is well known that the degree of image sharpness can be evaluated by MTF or acutance, one cannot always expect that every image contains a sharp point image or suitable edges. There is still another problem of judging if the main subject in the image be in focus. We propose a new practical measure of image sharpness which is calculated from the delta histogram for the skin color region in the image, assuming that the human faces be the majority of the main subject.
Journal
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- Journal of The Society of Photographic Science and Technology of Japan
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Journal of The Society of Photographic Science and Technology of Japan 53 (5), 395-398, 1990
THE SOCIETY OF PHOTOGRAPHY AND IMAGING OF JAPAN
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Details 詳細情報について
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- CRID
- 1390282681545942016
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- NII Article ID
- 130004283973
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- ISSN
- 18845932
- 03695662
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
