Adaptive image colorization with total variation and partial differential equation

作者：Chen Ying^*; Li Shensu; Yao Heng

来源：International Journal of Digital Content Technology and Its Applications, 2011, 5(12): 316-324.

DOI：10.4156/jdcta.vol5.issue12.39

• Adaptive images
• Adaptive methods
• Diffusion Coefficients
• Finite difference
• Image colorization
• Image properties
• Image regions
• Model parameters
• PDE method
• Total variation
• Visual qualities

An adaptive image colorization algorithm based on total variation and partial differential equations (PDE) is proposed to overcome problems of color blurring near edges in some colorization algorithms. A partial differential equation is established through minimization of a functional. An adaptive method is then used to select the model parameters. By choosing suitable diffusion coefficients related to the image properties, we can improve efficiency of diffusion in smooth image regions, and continuity of colors near edges. A colorized image is obtained by numerically solving the PDE with a finite-difference approach. Compared with some other PDE methods, the proposed method can produce colorized images with better visual quality.

• 出版日期2011
• 单位上海大学