A low-complexity image compression approach with single spatial prediction mode and transform. Issue 8 (November 2016)

• Record Type: Journal Article
• Authors: Kamisli, Fatih
• Is Part Of: Signal, image and video processing. Volume 10:Issue 8(2016)
• Page Start: 1409
• Page End: 1416
• Publication Date: 2016-11
• Subjects: Image coding -- Discrete cosine transforms -- Spatial prediction -- Markov processes; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0908-3
• Languages: English
• ISSNs: 1863-1703

Abstract

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.