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光照处理中改进的Gamma矫正方法 被引量:10

Improved Gamma Correction Method in Weakening Illumination
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摘要 在图像处理中,光照始终是影响图像质量的重要因素。为了有效弱化光照对图像质量的影响,利用非线性函数叠加的方法构造了一个合理的Gamma值变化曲线,使Gamma矫正方法充分适应了图像中光照变化的实际情况,并有效防止了Gamma矫正可能产生的图像失真。实验证明该方法在改善图像光照条件、提高图像质量方面具有良好的性能。 Illumination always affects image quality seriously in practice, and no effective methods have been found to solve this problem up-to-date. To weaken illumination effect on image quality, this paper presents an effective Gamma correction method whose Gamma values are determined by three non-linear functions. This makes the proposed Gamma correction method more suitable to illumination changes besides effectively preventing possible corrected image distortion. Experimental results demonstrate that the proposed method performs better in readjusting image illumination condition and improving image quality.
出处 《中国民航学院学报》 2006年第4期39-42,共4页 Journal of Civil Aviation University of China
基金 国家杰出青年基金项目(60325102) 海外杰出青年合作研究基金项目(60428101) 中国民航大学科研启动基金项目(05qd02q) 天津市智能信号与图像处理重点实验室开放基金项目 中国民航大学科研基金项目(05yk22m)
关键词 光照变化 Gamma矫正 图像处理 illumination change Gamma correction image processing
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参考文献9

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二级参考文献9

  • 1[1]G. Finlayson, B. Funt, J. Barnard, Colour constancy under a varying illumination, ICCV, 1995, pp.720-725.
  • 2[2]B. Funt, K. Barnard, L. Martin, Is machine colour constancy good enough?, ECCV, 1998, pp. 445-459.
  • 3[3]C.H. Lee, J.S. Kim, K.H. Park, Automatic human face location in a complex background using motion and color information, PR, 1996, 29(11), pp. 1877-1889.
  • 4[4]M. Soriano, B. Martinkauppi, S. Huovinen, Skin detection in video under changing illumination conditions, ICPR ,2000, pp.839-842.
  • 5[5]R-H. Hsu, M. Abdel-Mottaleb, A.K. Jain, Face detection in color images, PIMI, 2002, 24(5), pp.696-706.
  • 6[6]H.F. Lau, M.D. Levine, Finding a small number of regions in an image using low-level features, PR, 2002, 35(10),pp.2323-2339.
  • 7[7]L. Lucchese, S.K. Mitra, Color image segmentation: A State-of-the-Art Survey, Proc. Indian National Science Academy (INSA-A), 2001, Vol. 67, pp.207-221.
  • 8[8]H. Farid, Blind inverse Gamma correction, IEEE Trans.on Image Processing, 2001, 10(2), pp. 1428-1433.
  • 9[9]A. Siebert, Differential Invariants under Gamma Correction, Vision Interface 2000, Montreal.

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