Title :
Differential-SPIHT for image sequence coding
Author :
Hu, Yang ; Pearlman, William A.
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Efficient image sequence coding exploits both spatial correlation and temporal correlation. SPIHT is a powerful algorithm in exploiting spatial correlations for still image coding. Based on SPIHT, we present a novel approach to exploit temporal correlations for image sequence coding, while maintaining single frame, random access decoding. The so-called Differential-SPIHT takes advantage of inter-frame correlations by reusing the significance testing data of a SPIHT coded frame. From simulation results of videos and volumetric medical images, Differential-SPIHT offers significant reductions in bitrate from conventional two-dimensional (2D) SPIHT for the same reconstruction PSNR, while retaining the desirables features of rate scalability and computational simplicity.
Keywords :
correlation methods; data compression; image coding; image sequences; medical image processing; trees (mathematics); wavelet transforms; differential SPIHT; image sequence coding; random access decoding; set partitioning in hierarchical trees; spatial correlation; temporal correlation; volumetric medical image; Biomedical imaging; Bit rate; Computational modeling; Decoding; Image coding; Image reconstruction; Image sequences; Medical simulation; Testing; Videos; Compression; SPIHT; significance map; video; volumetric medical image;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495263