A real-time automatic contrast adjustment method for high-bit-depth cameras based on histogram variance analysis

Jun Zhao; Jun Lu

doi:10.1117/12.2202817

8 October 2015 A real-time automatic contrast adjustment method for high-bit-depth cameras based on histogram variance analysis

Jun Zhao, Jun Lu

Author Affiliations +

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96752W (2015) https://doi.org/10.1117/12.2202817
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

In this paper we propose an efficient method to enhance contrast in real time in digital video streams by exploiting histogram variances and adaptively adjusting gamma curves. The proposed method aims to overcome the limitations of the conventional histogram equalization method, which often produces noisy, unrealistic effects in images. To improve visual quality, we use gamma correction technique and choose different gamma curves according to the histogram variance of the images. By using this scheme, the details of an image can be enhanced while the mean brightness level is kept. Experiment results demonstrate that our method is simple and efficient, and robust for both low and high dynamic scenes, and hence well suited for real-time, high-bit-depth video acquisitions.

Citation Download Citation

Jun Zhao and Jun Lu "A real-time automatic contrast adjustment method for high-bit-depth cameras based on histogram variance analysis", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752W (8 October 2015); https://doi.org/10.1117/12.2202817

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