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논문 기본 정보
- 자료유형
- 연구보고서
- 저자정보
- 발행연도
- 2010.2
- 수록면
- 294 - 298 (5page)
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초록· 키워드
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The OK-quantization theory is a theory that focuses attention on the reproducibility of an image histogram to thereby determine the minimum gray level by applying a sampling theorem to it. In many cases it is ascertained by human sense of sight that the minimum gray level obtained from this theory is appropriate. However, in order to put the OK-quantization theory into practical use, it is necessary to perform a validity evaluation of this theorem using a computer algorithm. In this research, the gray level of each pixel of a quantized image is first interpolated using the sampling function to create a reconstructed image with the average gray level of each pixel being as a new gray level. The gray level is then evaluated for validity by comparing the histogram of this reconstructed image with that of the original image. The experiment results have confirmed that the proposed method makes it possible to replace a validity verification that relies on the human sense of sight, with a computational algorithm.
목차
Abstract
1. Introduction
2. Validity evaluation method of theminimum quantization gray level
3. Experiments
4. Conclusions
References
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