Affiliation:
1. School of Information Engineering, Qujing Normal University , Qujing 655000 , China
Abstract
Abstract
For low-illumination video sequences, some existing enhancement algorithms have some problems, such as image over-enhancement, color distortion, and inadequate detail processing. Based on luminance detection, we add logarithmic tone mapping to optimize the existing algorithms. The color space of low-illumination video image is converted from the red, green, blue mode to the hue-saturation-intensity mode, and then, logarithmic tone enhancement is applied to the image. Algorithm in this study has an obvious effect on image luminance enhancement and details processing, which makes the low-illumination video show a clear image with more natural visual effect, thus improving the quality of low-illumination video. This algorithm can avoid the problems of overexposure, color distortion, and blurring of detail processing under low illumination. The infrared spectrum of the object can be captured by infrared detection equipment, and the purpose of image enhancement can be achieved by applying the infrared spectrum of the object.
Reference15 articles.
1. M. Melo, L. Barbosa, and M. Bessa, “Context-aware HDR video distribution for mobile devices,” Multimed. Tools Appl., vol. 76, no. 15, pp. 16605–16623, 2017.
2. J. P. Liu, B. K. Huang, and G. Wei, “A fast effective single image dehazing algorithm,” Tien Tzu Hsueh Pao/Acta Electronica Sin, vol. 45, no. 8, pp. 1896–1901, 2017.
3. E. Sikudová, T. Pouli, and A. Artusi, “A gamut mapping framework for color-accurate reproduction of HDR images,” IEEE Comput. Graph. Appl., vol. 36, no. 4, pp. 78–90, 2017.
4. R. Furuta, I. Tsubaki, and T. Yamasaki, “Fast volume seam carving with multipass dynamic programming,” IEEE Trans. Circuits Syst. Video Technol., vol. 28, no. 99, pp. 1087–1101, 2018.
5. E. Francois and L. Kerkhof, “A single-layer HDR video coding framework with SDR compatibility,” SMPTE Motion Imaging J. vol. 126, no. 3, pp. 16–22, 2017.