A Wavelet-Based Image Enhancement Algorithm for Real Time Multi-resolution Texture Mapping

Author(s):  
Hai-feng Cui ◽  
Xin Zheng
2007 ◽  
Author(s):  
Tian Si ◽  
Youtang Gao ◽  
Jianliang Qiao ◽  
Benkang Chang

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.


2012 ◽  
Vol 505 ◽  
pp. 263-266
Author(s):  
Dong Mei Liu ◽  
Tao Zhang ◽  
Chuan Li Yin ◽  
Xiao Qiang Ji

According to the disadvantage of the large noises of histogram equalization algorithm, a new adaptive image enhancement algorithm is presented. First, the statistical histogram of the infrared image is done. Then the threshold of plateaus Equalization is calculated and the statistical histogram is modified. Finally the bright values of the pixels of the image are changed. An embedded high speed image enhancement processing system on high performance DSP TMS320DM642 and FPGA was designed. Experimental results with real images shown that the system can improve the contrast of the infrared image, limit the noises of the enhancement image, and effectively enhance the infrared image, the running time of the program is shorter, so it can meet the requirements of real-time in the project.


2021 ◽  
Author(s):  
Liping Liang ◽  
Lintao Yu ◽  
Luotian Duan ◽  
Luoyi Ding ◽  
Yixin Yu ◽  
...  

2022 ◽  
Author(s):  
Farzin Amzajerdian ◽  
Alexander Bulyshev ◽  
Paul F. Brewster ◽  
Byron L. Meadows ◽  
Guoqing Shen ◽  
...  

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