Earticle

초록

영어

This paper presents a decolorization method using gradient and saliency as the maintained features in the conversion to preserve the local and global visual perception. First, we construct a linear parametric mapping function of RGB color channels. Then, we calculate the feature value of each pixel in the color image and the parameterized grayscale image, the feature value integrates the pixel gradient and region saliency. Finally, we search for the parameters which can get the minimum of the total differences between the feature values of color and grayscale images, and substitute into the linear parametric function to get the decolorization result. To enhance the efficiency of getting the best parameters, we properly relax the strict computation formulas of the gradient and saliency to construct a linear least square problem, and obtain the optimal parameters by solving optimization. Experimental results show that our method using the discrete searching strategy can maintain the contrasts meanwhile avoid the excessive enlargement of the contrasts during the color-to-gray conversion, this property guarantees the preserving of the visual perception. Our method using the linear least square strategy can reduce the computation time and frequently get the similar results with our discrete searching method.

목차

Abstract
 1. Introduction
 2. The Visual Perception Preserving Decolorization Method
  2.1. Linear Parametric Mapping Functions
  2.2. Computation of the Maintained Features
  2.3. Computation of the Decolorization Result
 3. Experimental Results
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• Jie Chen [ Key Lab of Image Processing and Image Communication of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China ]
• Xin Li [ Key Lab of Image Processing and Image Communication of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China ]
• Xiuchang Zhu [ Key Lab of Image Processing and Image Communication of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China ]
• Jin Wang [ College of Information Engineering, Yangzhou University, Yangzhou, 225009, China ]

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