상세정보
학술지
Automatic Contrast Enhancement by Transfer Function Modification
- 저자
- 배태욱, 안상호, Yucel Altunbasak
- 발행일
- 201702
- 출처
- ETRI Journal, v.39 no.1, pp.76-76
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 16ZC3100, 지역기반 의료기기.의료로봇 기술개발 및 의료IT 융합 중소기업 활성화 사업, 최은창
- 초록
- In this study, we propose an automatic contrast enhancement method based on transfer function modification (TFM) by histogram equalization. Previous histogram-based global contrast enhancement techniques employ histogram modification, whereas we propose a direct TFM technique that considers the mean brightness of an image during contrast enhancement. The mean point shifting method using a transfer function is proposed to preserve the mean brightness of an image. In addition, the linearization of transfer function technique, which has a histogram flattening effect, is designed to reduce visual artifacts. An attenuation factor is automatically determined using the maximum value of the probability density function in an image to control its rate of contrast. A new quantitative measurement method called sparsity of a histogram is proposed to obtain a better objective comparison relative to previous global contrast enhancement methods. According to our experimental results, we demonstrated the performance of our proposed method based on generalized measures and the newly proposed measurement.
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