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A low-complexity image compression approach with single spatial prediction mode and transform
Date
2016-11-01
Author
Kamışlı, Fatih
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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.
Subject Keywords
Image coding
,
Discrete cosine transforms
,
Spatial prediction
,
Markov processes
URI
https://hdl.handle.net/11511/47635
Journal
SIGNAL IMAGE AND VIDEO PROCESSING
DOI
https://doi.org/10.1007/s11760-016-0908-3
Collections
Department of Electrical and Electronics Engineering, Article
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BibTeX
F. Kamışlı, “A low-complexity image compression approach with single spatial prediction mode and transform,”
SIGNAL IMAGE AND VIDEO PROCESSING
, vol. 10, no. 8, pp. 1409–1416, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47635.