A real-time contrast enhancement algorithm for infrared images based on plateau histogram

2006 ◽  
Vol 48 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Bing-jian Wang ◽  
Shang-qian Liu ◽  
Qing Li ◽  
Hui-xin Zhou
Author(s):  
Chia-En Chang ◽  
Shih-Lun Chen ◽  
Chiung-An Chen ◽  
Ting-Lan Lin ◽  
Yao-Tsung Kuo ◽  
...  

2012 ◽  
Vol 461 ◽  
pp. 215-219
Author(s):  
Yu Qian Zhao ◽  
Zhi Gang Li

According to the characteristics of infrared images, a contrast enhancement algorithm was presented. The principium of FPGA-based adaptive bidirectional plateau histogram equalization was given in this paper. The plateau value was obtained by finding local maximum and whole maximum in statistical histogram based on dimensional histogram statistic. Statistical histogram was modified by the plateau value and balanced in gray scale and gray spacing. Test data generated by single frame image, which was simulated by FPGA-based real-time adaptive bidirectional plateau histogram equalization. The simulation results indicates that the precept meet the requests well in both the image processing effects and processing speed


Author(s):  
Tae-Chan Kim ◽  
Chang-Won Huh ◽  
Meejoung Kim ◽  
Bong-Young Chung ◽  
Soo-Won Kim

2013 ◽  
Vol 325-326 ◽  
pp. 1547-1550
Author(s):  
Li Zhu ◽  
Chun Qiang Zhu

When needing a reliable adaptive image contrast enhancement in real-time processing such as digital TV postprocessing,This goal is achieved by an improved adaptive unsharp masking image enhancement algorithm in the paper. The proposed improved adaptive unsharp masking filter controls the contribution of the sharpening path by the output of Laplacian and works in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas. The experiment shows that this improved algorithm greatly reduce the complexity of computing and can be reliably used.


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