A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets and subband coding
VLSI architecture for fast 2D discrete orthonormal wavelet transform
Journal of VLSI Signal Processing Systems
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Wavelet Transform Architectures: A System Level Review
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
A Latency-Hiding MIMD Wavelet Transform
PDP '96 Proceedings of the 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Optimal memory organization for scalable texture codecs in MPEG-4
IEEE Transactions on Circuits and Systems for Video Technology
An efficient architecture for lifting-based two-dimensional discrete wavelet transforms
Proceedings of the 14th ACM Great Lakes symposium on VLSI
An efficient architecture for lifting-based two-dimensional discrete wavelet transforms
Integration, the VLSI Journal - Special issue: ACM great lakes symposium on VLSI
Journal of VLSI Signal Processing Systems
A Survey on Lifting-based Discrete Wavelet Transform Architectures
Journal of VLSI Signal Processing Systems
Optimized memory requirements for wavelet-based scalable multimedia codecs
Journal of Embedded Computing - Low-power Embedded Systems
An efficient architecture for lifting-based two-dimensional discrete wavelet transforms
Integration, the VLSI Journal - Special issue: ACM great lakes symposium on VLSI
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
Algorithms and architectures for 2D discrete wavelet transform
The Journal of Supercomputing
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In this paper we propose a dedicated architecture to implement a 2-D discrete wavelet transform computed by adopting the new lifting scheme framework. Through this new construction tool it is possible to obtain integer versions of the wavelet transform. This is a very interesting issue when the goal is lossless compression of images, whose pixels are represented through integers. In the classical approach to the discrete wavelet, the filter coefficients are real numbers and so are the resulting coefficients. When pursuing hardware implementations for real time and embedded applications, this causes the need to manage fixed point operations and unavoidable quantization. If the output can be produced with integer values instead, perfect reconstruction and lossless compression are possible. Typical applications include scenarios with limited bandwidth and big image sizes, such as medical imaging for tele-medicine or satellite image transmission, not suited to lossy compression, or high quality images in digital cameras.We analyze the data flow and dependencies to define an architecture to implement the integer lifting wavelet transform. The paper covers all lifting implementations based on a single ‘lifting stepr’ and uses the Deslauriers-Dubuc (4, 2) filter as a guiding example, but the approach is general and the results can be easily extended to other filters. We outline a very general framework, to be used either in a custom VLSI implementation, or in mappings onto existing ‘computing cells’. The overall resources needed are less than those for the equivalent classical FIR version computed through a systolic architecture.