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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28896
Title: Structurally orthogonal finite precision FPGA implementation of block-lifting-based quaternionic paraunitary filter banks for L2L image coding
Authors: Petrovsky, N. A.
Rybenkov, E. V.
Petrovsky, A. A.
Keywords: публикации ученых;Controlled Indexing channel bank filters;distributed arithmetic;field programmable gate arrays;image coding;linear phase filters;pipeline arithmetic
Issue Date: 2017
Publisher: IEEE
Citation: Petrovsky, N. A. Structurally orthogonal finite precision FPGA implementation of block-lifting-based quaternionic paraunitary filter banks for L2L image coding / N. A. Petrovsky, E. V. Rybenkov, A. A. Petrovsky // Digital Signal Processing (DSP’2017): Proc. 22nd Int. Conf., London, United Kingdom, August 23-25, 2017 / Imperial college London. – London : IEEE, 2017. – 5 P.
Abstract: This paper presents a systematic design of the integer-to-integer invertible quaternionic multiplier based on the block-lifting structure and pipelined embedded processor of the given multiplier using distributed arithmetic (DA) as a block of M-band linear phase paraunitary filter banks (LP PUFB) based on the quaternionic algebra (Q-PUFB). A bank Q-PUFB based on the DA block-lifting structure reduces the number of rounding operations and has a regular layout, and can be implemented on the FPGA-based devices as integer-to-integer transform. Compared to general-purpose Q-PUFB obtained using lifting factorization, it needs less lifting steps and the given DA-based Q-PUFBs have less number of rounding operations and this property is useful for the lossless-to-lossy (L2L) image coding. Furthermore our DA-based 8-channel LP Q-PUFBs presented superior coding results on the PSNR than the corresponding filter banks, especially for image with relatively strong highpass components.
URI: https://libeldoc.bsuir.by/handle/123456789/28896
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