Coefficient-wise intra prediction for DCT-based image coding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an adaptive intra prediction method for DCT-based image coding. In this method, predicted values in each block are generated in spatial domain like the conventional intra prediction methods. On the other hand, prediction residuals to be encoded are separately calculated in DCT domain, i.e. differences between the original and predicted values are calculated after performing DCT. Such a prediction framework allows us to change the coding process from block-wise order to coefficient-wise one. When the coefficient-wise order is adopted, a block to be predicted is almost always surrounded by partially reconstructed image signals, and therefore, efficient interpolative prediction can be performed. Simulation results indicate that the proposed method is beneficial for removing inter-block correlations of high-frequency components.

Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages196-200
Number of pages5
ISBN (Electronic)9780992862619
Publication statusPublished - 10 Nov 2014
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference22nd European Signal Processing Conference, EUSIPCO 2014
CountryPortugal
CityLisbon
Period1/09/145/09/14

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Keywords

  • DCT
  • Image coding
  • intra prediction
  • linear interpolation
  • progressive JPEG

Cite this

Matsuda, I., Kameda, Y., & Itoh, S. (2014). Coefficient-wise intra prediction for DCT-based image coding. In 2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014 (pp. 196-200). [6952018] (European Signal Processing Conference). European Signal Processing Conference, EUSIPCO.