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ZTE Communications ›› 2009, Vol. 7 ›› Issue (4): 49-53.

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Real- Time Color Enhancement Method Used for Intelligent Mobile Terminals

Jin Hui   

  1. Solution Marketing Department of P roduct Ma rketing System, ZTE Corporation, Shenzhen 518057, P. R. China
  • 出版日期:2009-12-25 发布日期:2020-03-03
  • 作者简介:Jin Hui, PhD, graduated from Harbin Institute of Technology. She is now working at Solution Marketing Department of ZTE Corporation. Her research interests include artificial intelligence, pattern recognition, video processing and data compression. So far, she has published over 10 papers.

Real- Time Color Enhancement Method Used for Intelligent Mobile Terminals

Jin Hui   

  1. Solution Marketing Department of Product Marketing System, ZTE Corporation, Shenzhen 518057, P. R. China
  • Online:2009-12-25 Published:2020-03-03
  • About author:Jin Hui, PhD, graduated from Harbin Institute of Technology. She is now working at Solution Marketing Department of ZTE Corporation. Her research interests include artificial intelligence, pattern recognition, video processing and data compression. So far, she has published over 10 papers.

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摘要： In certain environments and under some conditions, the video images taken by the intelligent mobile video phones seem dark, and the colors are not bright or saturated enough.This paper presents an adaptive method to enhance the video image brightness visualization and the color performance depending on the certain hardware property and function parameters. The experimental results prove that this method can enhance the colors and the contrast of the video images, based on the estimated quality feature values of each frame, without using the extra Digital Signal Processor (DSP ).

Abstract: In certain environments and under some conditions, the video images taken by the intelligent mobile video phones seem dark, and the colors are not bright or saturated enough.This paper presents an adaptive method to enhance the video image brightness visualization and the color performance depending on the certain hardware property and function parameters. The experimental results prove that this method can enhance the colors and the contrast of the video images, based on the estimated quality feature values of each frame, without using the extra Digital Signal Processor (DSP ).