Efficient Algorithms for Discrete Wavelet Transform: With Applications to Denoising and Fuzzy Infere (BOK)

Arvind K. Tiwari, K. K. Shukla

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Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. Wavelet transforms have excellent energy compaction characteristics and can provide perfect reconstruction. The shifting (translation) and scaling (dilation) are unique to wavelets. Orthogonality of wavelets with respect to dilations leads to multigrid representation. As the computation of DWT involves filtering, an efficient filtering process is essential in DWT hardware implementation. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients. Hence, the overall performance depends significantly on the precision of the intermediate DWT coefficients. This work presents new implementation techniques of DWT, that are efficient in terms of computation, storage, and with better signal-to-noise ratio in the reconstructed signal.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2013 Forfatter Arvind K. Tiwari, K. K. Shukla
Forlag
Springer
ISBN 9781447149408
Antall sider 100 Dimensjoner 15,5cm x 23,5cm x 0,8cm
Vekt 172 gram Leverandør Bertram Trading Ltd
Emner og form Imaging systems & technology, Algorithms & data structures, Image processing

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