Pre-compression rate allocation for JPEG2000 encoders in power constrained devices

The JPEG2000 coding scheme is slowly getting into use in imaging applications. The standard offers a set of new features and a better compression efficiency compared to the baseline JPEG. It requires, however, a high computational cost, making its usage in constrained devices, such as mobile phones or PDAs, challenging. We present a precompression rate allocation technique to reduce the encoding complexity and help adoption of JPEG2000 in such contexts.

[1]  Sebastiano Battiato,et al.  JPEG2000 coded images optimization using a content-dependent approach , 2002, IEEE Trans. Consumer Electron..

[2]  Majid Rabbani,et al.  An overview of the JPEG 2000 still image compression standard , 2002, Signal Process. Image Commun..

[3]  Michael W. Marcellin,et al.  JPEG2000 - image compression fundamentals, standards and practice , 2002, The Kluwer International Series in Engineering and Computer Science.

[4]  Ping-Sing Tsai,et al.  Memory efficient progressive rate-distortion algorithm for JPEG 2000 , 2005 .

[5]  Oscar C. Au,et al.  Efficient rate control for JPEG2000 image coding , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Sumana Srinivasan,et al.  Rate-distortion estimation for fast JPEG2000 compression at low bit-rates , 2005 .

[7]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Jun Sun,et al.  Fast and efficient rate control approach for JPEG2000 , 2004, IEEE Transactions on Consumer Electronics.

[9]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).