Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Color Image Coding by Colorization Approach

Abstract

This paper proposes a new color image coding scheme called "colorization image coding." The scheme is based on the colorization technique which can colorize a monochrome image by giving a small number of color pixels. We develop algorithms useful for color image coding. First, the luminance component is separated from an input color image. Then, a small number of color seeds are selected as chrominance information. The luminance image component is coded by a lossy coding technique and the chrominance image component is stored as color seeds. The decoding is performed by the colorization algorithm. It is shown that this colorization technique is effective to image coding, especially for high compression rate, through the experiments using different types of images.

Publisher note

To access the full article, please see PDF.

Author information

Correspondence to Takahiko Horiuchi.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Horiuchi, T., Tominaga, S. Color Image Coding by Colorization Approach. J Image Video Proc 2008, 158273 (2008). https://doi.org/10.1155/2008/158273

Download citation

Keywords

  • Compression Rate
  • Image Code
  • Code Technique
  • Color Seed
  • Image Component