Earticle

초록

영어

In this paper, aiming at the shortcomings of the traditional histogram enhancement method and defect, a kind of image enhancement algorithm is put forward based on digital image complexity. Experimental results show that this method has advantages compared with traditional image enhancement algorithms, mainly reflected in the results obtained by using the improved image enhancement algorithms, the corresponding SNR and MSSIM index are higher than the original. In the paper, SNR and MSSIM index is proved best combination, which are high reflects that the similarity of after-image and the reference image and the image is more suitable to the human eye.

목차

Abstract
 1. Introduction
 2. The Traditional Digital Image Enhancement Method Based On Histogram
  2.1. Traditional Histogram Enhancement Principle
  2.2. Analysis of Traditional Digital Image Enhancement Method
 3. The Image Enhancement Algorithm Based On Digital Image Complexity
  3.1. The Complexity of the Image Array
  3.2. Image Complexity and Entropy
  3.3. Digital Image Enhancement Method Based On Image Complexity
 4. Result
  4.1. Traditional Digital Image Quality Evaluation Parameters
  4.2. MSSIM(Mean Structural Similarity)
  4.3. Image Enhancement Result and Quality Evaluation
 5. Conclusion
 References

키워드

저자

• Cheng Yanyan [ Langfang Teachers University, Langfang, Hebei,065000, P.R.China ]
• Wang Huijuan [ North China Institute of Aerospace Engineering, Langfang, Hebei, 065000, P.R. China ]
• Mi Xinjiang [ Langfang Teachers University, Langfang, Hebei,065000, P.R.China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605