시각적 최적화 통계를 이용한 저대비 영상의 화질 향상 = Image Enhancement Using Visually Optimized Statistics in Low-contrast Images

다국어 초록 (Multilingual Abstract)

Histogram equalization enhances the quality of an image using contrast control. While conventional methods use either a global or local approach for contrast control, the recent MLBOHE method uses a combined global and local approach based on multiple layers block. However, the MLBOHE method is still limited as regards controlling the image intensity to produce an optimal image quality. Therefore, the proposed method produces a visually optimized image quality based on using visually optimized statistics to control the image intensity and contrast. Experiments confirm that the image quality produced by the proposed algorithm is superior to that with conventional methods in terms of naturalness and contrast

참고문헌 (Reference)

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