Representative pixels compression algorithm using graph signal processing for colorization-based image coding
Kazunori Uruma, Ken Saito, Tomohiro Takahashi, Katsumi Konishi, Toshihiro Furukawa · 2017
This paper deals with the colorization-based image coding algorithm. In this algorithm, a color image is compressed by encoding its luminance image by standard coding method such as JPEG coding and by storing several color pixels called as representative pixels (RPs). In decoding phase, a color image is restored from luminance image and color information of RPs using the image colorization technique. While previous studies have achieved a high coding performance, the compression method of RPs has not been considered because the positions of RPs are inhomogeneous. In order to improve the image coding performance, this paper proposes the RPs compression algorithm using the graph Fourier transform. Numerical results show that proposed algorithm achieves better performance than JPEG2000 coding.