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Proceedings ArticleDOI

Fast and efficient spatial scalable image compression using wavelet lower trees

José Luis Hervás Oliver, +1 more
- pp 133-142
TLDR
A new image compression algorithm is proposed based on the efficient construction of wavelet coefficient lower trees that presents state-of-the-art compression performance, while its temporal complexity is lower than the one presented in other wavelet coders, like SPIHT and JPEG2000.
Abstract
A new image compression algorithm is proposed based on the efficient construction of wavelet coefficient lower trees. This lower-tree wavelet (LTW) encoder presents state-of-the-art compression performance, while its temporal complexity is lower than the one presented in other wavelet coders, like SPIHT and JPEG2000. This fast execution is achieved by means of a simple two-pass coding and one-pass decoding algorithm. On the other hand, its computation does not need additional lists or complex data structures so there is no memory head. A formal description of the algorithm is provided, so that an implementation can be performed straightforwardly. The results show that the codec works faster than SPIHT and JPEG2000 with better performance in terms of rate-distortion metric.

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TL;DR: A new image compression algorithm is proposed based on the efficient construction of wavelet coefficient lower trees, which presents state-of-the-art compression performance, whereas its complexity is lower than the one presented in other wavelet coders, like SPIHT and JPEG 2000.
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References
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Journal ArticleDOI

Line-based, reduced memory, wavelet image compression

TL;DR: A line-based approach for the implementation of the wavelet transform is introduced, which yields the same results as a "normal" implementation, but where, unlike prior work, the memory issues arising from the need to synchronize encoder and decoder are addressed.
Journal ArticleDOI

Stack-run image coding

TL;DR: A new image coding approach in which a 4-ary arithmetic coder is used to represent significant coefficient values and the lengths of zero runs between coefficients, which involves much lower addressing complexity than other algorithms such as zerotree coding.
Journal ArticleDOI

Fast variable run-length coding for embedded progressive wavelet-based image compression

TL;DR: It turns out that self-similar curves for scanning the dominant pass increase the compression efficiency significantly, which results in a new and very fast coding algorithm, which shows performance similar to the state-of-the-art coder SPIHT, but with lower complexity and small and fixed memory overhead.
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