LL-FMC: Low-latency frame memory compression scheme with high reconstructed quality

Jin Shin, Jong Ho Lee, Hyun Kim

Research output: Contribution to journalLetterpeer-review

Abstract

Frame memory compression (FMC) saves power by reducing the data bandwidth for accessing reference frames of video coding standards in the external memory. However, since the continuously accumulated data loss degrades the performance of video coding standards, the quality of the reconstructed reference frame must be improved. Previous lossy frame memory compression methods focused on processing speed or simplicity, but their performance remains limited in terms of the quality of the reconstructed frame. In this study, a Huffman coding with a fixed codebook designed to considerably reduce the latency caused by arithmetic coding in lossless compression schemes is proposed. A novel lossy frame memory compression technique based on the Hadamard transform that does not require additional memory access using a lookup table is also proposed. The result of experiments on several reconstructed videos preprocessed with HEVC show that the proposed method improves BDPSNR by 10.7 dB and BDBR by 40.4% compared with the DWT+SPIHT-based compression technique which is widely used for lossy frame memory compression.

Original languageEnglish
Article numbere12893
JournalElectronics Letters
Volume59
Issue number14
DOIs
StatePublished - Jul 2023

Keywords

  • Hadamard transforms
  • Huffman codes
  • data compression
  • transform coding
  • video coding

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