Laser & Optoelectronics Progress, Volume. 55, Issue 5, 051002(2018)
Contrast Adjustment Based on Image Retrieval
Fig. 2. Enhancement of context-sensitive and context-free. (a) Original image; (b) context-sensitive; (c) context-free
Fig. 4. (a) CLAHE transform after adaptive brightness equalize; (b) CLAHE transform
Fig. 5. Enhanced image with brightness adjustment module corresponding to different optimal solutions. (a) CLAHE as optimal solution; (b) CLAHE transform after brightness equalize as optimal solution
Fig. 6. Reference image and image to be enhanced and its quality score. (a)-(g) Reference images; (h)-(n) images to be enhanced
Fig. 9. Weak contrast images treated by different methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (e) ROHIM method; (f) proposed method
Fig. 10. Dark image treated by diffeent methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (e) ROHIM method; (f) proposed method
Fig. 11. Night image treated by different methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (d) ROHIM method; (f) proposed method
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Yanjia Fei, Feng Shao. Contrast Adjustment Based on Image Retrieval[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051002
Category: Image processing
Received: Sep. 26, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Feng Shao (shaofeng@nbu.edu.cn)