Abstract
This paper proposes a representative pixel (RP) extraction algorithm and chrominance image recovery algorithm for the colorization-based digital image coding. The colorization-based coding methods reduce the color information of an image and achieve higher compression ratio than JPEG coding; however, they take much more computing time. In order to achieve low computational cost, this paper proposes the algorithm using the set of multiple-resolution images obtained by colorization error minimizing method. This algorithm extracts RPs from each resolution image and colorizes each resolution image utilizing a lower resolution color image, which leads to the reduction of the number of RPs and computing time. Numerical examples show that the proposed algorithm extracts the RPs and recovers the color image fast and effectively.
Author supplied keywords
Cite
CITATION STYLE
Uruma, K., Konishi, K., Takahashi, T., & Furukawa, T. (2016). Fast colorization based image coding algorithm using multiple resolution images. Eurasip Journal on Image and Video Processing, 2016(1), 1–15. https://doi.org/10.1186/s13640-016-0107-8
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.