A Hardware-Oriented Contrast Enhancement Algorithm for Real-Time Applications

Author(s):  
Chia-En Chang ◽  
Shih-Lun Chen ◽  
Chiung-An Chen ◽  
Ting-Lan Lin ◽  
Yao-Tsung Kuo ◽  
...  
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.


2006 ◽  
Vol 48 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Bing-jian Wang ◽  
Shang-qian Liu ◽  
Qing Li ◽  
Hui-xin Zhou

Author(s):  
Marian Weger ◽  
Thomas Hermann ◽  
Robert Höldrich

Every day, we rely on the information that is encoded in the auditory feedback of our physical interactions. With the goal to perceptually enhance those sound characteristics that are relevant to us — especially within professional practices such as percussion and auscultation — we introduce the method of real-time Auditory Contrast Enhancement (ACE). It is derived from algorithms for speech enhancement as well as from the remarkable sound processing mechanisms of our ears. ACE is achieved by individual sharpening of spectral and temporal structures contained in a sound while maintaining its natural gestalt. With regard to the targeted real-time applications, the proposed method is designed for low latency. As the discussed examples illustrate, it is able to significantly enhance spectral and temporal contrast.


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