2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel 2012
DOI: 10.1109/eeei.2012.6377050
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A multiplication-free digital architecture for 16×16 2-D DCT/DST transform for HEVC

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Cited by 19 publications
(29 citation statements)
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“…On the other hand, it requires double clock frequency to provide the same throughput, thus leading to higher power consumption. The last two columns of Table IV report the implementation details for the DST architectures proposed in [11], [12] as well. It is worth noting that the values for [11] refer to the implementation with input word length equal to 8 bits and the throughput has been calculated considering 4×4 DST blocks.…”
Section: Implementation Resultsmentioning
confidence: 99%
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“…On the other hand, it requires double clock frequency to provide the same throughput, thus leading to higher power consumption. The last two columns of Table IV report the implementation details for the DST architectures proposed in [11], [12] as well. It is worth noting that the values for [11] refer to the implementation with input word length equal to 8 bits and the throughput has been calculated considering 4×4 DST blocks.…”
Section: Implementation Resultsmentioning
confidence: 99%
“…However, while several architectures have been recently proposed for the integer DCT specified in HEVC [8]- [10], only few works address the design of hardware architectures to efficiently compute the integer DST. Edirisuriya et al [11] exploited the relationships between the DCT of different sizes and the DST to design a multiplication-free architecture, which is able to perform both the DCT and the DST on a block of size up to 16×16 samples. However, the reconfigurability of the system to support different transforms is paid in terms of large area occupation due to an high number of hardware resources, which are not fully utilized.…”
Section: Introductionmentioning
confidence: 99%
“…Table I shows the hardware overhead comparisons of our proposed 1-D Transformation core with other 1-D HEVC DCT/IDCT architectures. Thereinto, reference [6] and [5]'s architectures are implemented with FPGA, and the gate counts are their LUT numbers.…”
Section: Experimental Results and Performance Analysismentioning
confidence: 99%
“…According our evaluation, its hardware utilization is lower than 20%. According to the table, the hardware utilization rates of reference [6], reference [5] and reference [7] are much higher than others. However, the performance of these parallel architectures with huge throughput far exceed their practical requirements.…”
Section: 3mentioning
confidence: 99%
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