A low-complexity image compression approach with single spatial prediction mode and transform

KAMIŞLI F.

SIGNAL IMAGE AND VIDEO PROCESSING, vol.10, no.8, pp.1409-1416, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 10 Issue: 8
  • Publication Date: 2016
  • Doi Number: 10.1007/s11760-016-0908-3
  • Journal Name: SIGNAL IMAGE AND VIDEO PROCESSING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1409-1416
  • Middle East Technical University Affiliated: Yes

Abstract

The well-known low-complexity JPEG and the newer JPEG-XR systems are based on block-based transform and simple transform-domain coefficient prediction algorithms. Higher complexity image compression algorithms, obtainable from intra-frame coding tools of video coders H.264 or HEVC, are based on multiple block-based spatial-domain prediction modes and transforms. This paper explores an alternative low-complexity image compression approach based on a single spatial-domain prediction mode and transform, which are designed based on a global image model. In our experiments, the proposed single-mode approach uses an average 20.5 % lower bit-rate than a standard low-complexity single-mode image coder that uses only conventional DC spatial prediction and 2-D DCT. It also does not suffer from blocking effects at low bit-rates.