LOW-COMPLEXITY SUBBAND CODING FOR IMAGE COMPRESSION(Ph.D. Dissertation Proposal)
LOW-COMPLEXITY SUBBAND CODING FOR IMAGE COMPRESSION(Ph.D. Dissertation Proposal)
Highly scalable image coding for multimedia applications
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Faber-Schauder Wavelet Transform, Application to Edge Detection and Image Characterization
Journal of Mathematical Imaging and Vision
Embedded Zerotree Wavelet Coding of Image Sequence
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
What's Your Sign?: Efficient Sign Coding for Embedded Wavelet Image Coding
DCC '00 Proceedings of the Conference on Data Compression
Fast Progressive Image Coding without Wavelets
DCC '00 Proceedings of the Conference on Data Compression
DCC '00 Proceedings of the Conference on Data Compression
Computers in Biology and Medicine
A secret image sharing method using integer wavelet transform
EURASIP Journal on Advances in Signal Processing
An improved SPIHT algorithm for lossless image coding
Digital Signal Processing
Lossless image compression using adjustable fractional line-buffer
Image Communication
Group lifting structures for multirate filter banks I: uniqueness of lifting factorizations
IEEE Transactions on Signal Processing
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
| Hi-index | 0.01 |
Compression with Reversible Embedded Wavelets (CREW) is a unified lossless and lossy continuous tone still image compression system. It is wavelet based using a "reversible" approximation of one of the best wavelet filters. Reversible wavelets are linear filters with non linear rounding which implement exact reconstruction systems with minimal precision integer arithmetic. Wavelet coefficients are encoded in a bit significance embedded order, allowing lossy compression by simply truncating the compressed data. For coding of coefficients, CREW uses a method similar to J. Shapiro's (1993) zero tree, and a completely novel method called Horizon. Horizon coding is a context based coding that takes advantage of the spatial and spectral information available in the wavelet domain. CREW provides state of the art lossless compression of medical images (greater than 8 bits deep), and lossy and lossless compression of 8 bit deep images with a single system. CREW has reasonable software and hardware implementations.