Earticle

초록

영어

The exposure fusion technique is very useful for directly fusing multi-exposure images into a high quality image, without the physically based high dynamic range (HDR) production step. In this paper, we present an improved method for multi-exposure images fusion using multi-resolution Laplacian pyramid weighted blending. We propose a Weight Modification Factor (WMF) to modify the original weight map for each image guided by contrast, saturation and well-exposedness of each pixel in the image, and to enhance the weight of the informative pixels in ultra-bright or ultra-dark areas. Compared with previous methods, our approach preserves more useful details for scenes with very large dynamic range and achieves no artifacts. Several objective quality metrics prove the advantages of our method.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Analysis of Multi Resolution Exposure Fusion
 4. Our Approach
  4.1. Overview of our Approach
  4.2. Determination of Ultra-bright and Ultra-dark Areas
  4.3. Definition of WMF and Modification of Weight Maps
 5. Experiment Results and Comparisons
  5.1. Assessment by Distortion Maps
  5.2. Comparisons under Different Measure Exponents
  5.3. Assessment by Average Quality Measures
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Chunmeng Wang [ School of Computer Science and Technology, Shandong University Jinan, Shandong, China, 250100 ]
• Changhe Tu [ School of Computer Science and Technology, Shandong University Jinan, Shandong, China, 250100 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605