Title :
An improved pyramid for spatially scalable video coding
Author :
Flierl, Markus ; Vandergheynst, Pierre
Author_Institution :
Inst. of Signal Process., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
This paper discusses an improved pyramid for spatially scalable video coding. We introduce additional update steps in the analysis and the synthesis of the Laplacian pyramid. Our pyramid is able to control efficiently the quantization noise energy in the reconstruction. Hence, it provides improved coding performance when compared to the standard Laplacian pyramid. Moreover, our pyramid does not require biorthogonal filters as they should be used for the frame reconstruction of the Laplacian pyramid. Therefore, low-pass filters can be chosen that suppress aliasing in the low-resolution images efficiently and, hence, permit efficient motion compensation. The experimental results demonstrate coding gains of up to 1 dB for both images and image sequences when compared to the standard Laplacian pyramid.
Keywords :
image reconstruction; image sequences; low-pass filters; motion compensation; video coding; Laplacian pyramid; biorthogonal filters; frame reconstruction; image sequences; low-pass filters; low-resolution images; motion compensation; quantization noise energy; spatially scalable video coding; Energy resolution; Image reconstruction; Image sequences; Laplace equations; Motion compensation; Quantization; Signal resolution; Signal synthesis; Spatial resolution; Video coding;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530196