Matrix analysis
Fundamentals of digital image processing
Fundamentals of digital image processing
Vector quantization and signal compression
Vector quantization and signal compression
Wavelets and subband coding
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a performance analysis of hybrid predictive-transform coding for compression of both one-and two-dimensional signals. Our aim is to investigate whether recently developed H.264/AVC intraframe coding paradigm outperforms previous DCT based video compression schemes. An increased coding gain should be expected, but, while for one-dimensional signals the improved coding gain offered by this hybrid approach is easily shown, extension to two-dimensional cases is not straightforward. In this case, however, higher performance is still justified using a new model for local correlation. To provide evidence for its application, we compared the proposed parametric model with measured correlation data and proved that it approximates real data better than isotropic or separable models do.