Arithmetic coding for data compression
Communications of the ACM
Highly scalable image coding for multimedia applications
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
SPIHT image compression without lists
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Image coding using wavelet transform
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
A zerotree wavelet video coder
IEEE Transactions on Circuits and Systems for Video Technology
Very low bit-rate video coding based on matching pursuits
IEEE Transactions on Circuits and Systems for Video Technology
Scalable wavelet coding for synthetic/natural hybrid images
IEEE Transactions on Circuits and Systems for Video Technology
Embedded color image coding using SPIHT with partially linked spatial orientation trees
IEEE Transactions on Circuits and Systems for Video Technology
Low bit rate image compression core for onboard space applications
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a new linked significant tree (LST) wavelet coding method for improved compression of images. The proposed method first links all the significant coefficients together within a wavelet tree to facilitate encoding algorithm. Insignificant parents, with at least one significant child found in the wavelet data, are changed to significant to link them together. Their location is saved for identification, and they are then treated just like any other significant coefficients during encoding. An embedded LST encoding algorithm is proposed to accommodate the processed output for better coding efficiency. It exploits the fact that no descendent of an insignificant coefficient can be significant any more, since all the significant coefficients within a wavelet tree are linked together. This fact eliminates the need to check the descendents of those coefficients that are found as insignificant. Locations of converted coordinates are sent to the decoder after each encoding pass, to change the values back to original during reconstruction. The proposed method shows improvement when applied to gray-scale images.