Modified Contrast Enhancement Algorithm and Its Hardware Design for Real-Time Applications

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

Infrared Physics & Technology ◽

10.1016/j.infrared.2005.04.008 ◽

2006 ◽

Vol 48 (1) ◽

pp. 77-82 ◽

Cited By ~ 66

Author(s):

Bing-jian Wang ◽

Shang-qian Liu ◽

Qing Li ◽

Hui-xin Zhou

Keyword(s):

Contrast Enhancement ◽

Real Time ◽

Infrared Images ◽

Enhancement Algorithm

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Real-Time Local Contrast Enhancement Algorithm for Video Cameras with Built-in Noise and Artifact Suppression

2008 Digest of Technical Papers - International Conference on Consumer Electronics ◽

10.1109/icce.2008.4587907 ◽

2008 ◽

Author(s):

Sascha D. Cvetkovic ◽

Johan Schirris ◽

Peter H.N. de With

Keyword(s):

Contrast Enhancement ◽

Real Time ◽

Local Contrast ◽

Video Cameras ◽

Local Contrast Enhancement ◽

Artifact Suppression ◽

Enhancement Algorithm

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Real-time Auditory Contrast Enhancement

Proceedings of the 25th International Conference on Auditory Display (ICAD 2019) ◽

10.21785/icad2019.026 ◽

2019 ◽

Cited By ~ 2

Author(s):

Marian Weger ◽

Thomas Hermann ◽

Robert Höldrich

Keyword(s):

Contrast Enhancement ◽

Real Time ◽

Speech Enhancement ◽

Auditory Feedback ◽

Temporal Contrast ◽

Sound Processing ◽

Temporal Structures ◽

Physical Interactions ◽

Real Time Applications ◽

Processing Mechanisms

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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