A memory efficient algorithm for multi-dimensional wavelet transform based on lifting
نویسندگان
چکیده
Conventional implementation of multi-dimensional wavelet transform (e.g. 3-D wavelet) requires whether a high amount of "in access" memory or a continual access to slow memory of a processor which makes it infeasible for most applications. In this paper, we proposed a novel algorithm for computation of an n-D discrete wavelet transform (DWT) based on lifting scheme. In addition to benefits of lifting scheme (which causes a major reduction in computational complexity and performs the total computations in time domain), our real-time approach computes the coefficients for all kinds of 1 and 2 generation wavelets with short delay and optimized utilization of the slow and fast memories of a processor.
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