A Spectral Graph Based Image Coding Method

YAĞAN A. C., Ozgen M. T.

25th Signal Processing and Communications Applications Conference (SIU), Antalya, Turkey, 15 - 18 May 2017 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2017.7960540
  • City: Antalya
  • Country: Turkey
  • Keywords: Signal processing on graphs, graph Fourier transform, image coding, PREDICTIVE TRANSFORM, FOURIER-TRANSFORM
  • Anadolu University Affiliated: Yes


In this paper, a spectral graph based image coding method is proposed. In the proposed method, only the smoothing parameter in the graph adjacency matrix, graph Fourier transform (GFT) coefficients kept after hard thresholding and column indices of eigenvectors corresponding to kept coefficients are sent to the decoder side. It is advantageous in that this coding process is performed by sending much less information as compared to other graph based methods. Our results indicate that our proposed method enables image compression without deteriorating the visual quality by using very small numbers of GFT coefficients.