2015
DOI: 10.1109/tcsii.2015.2468915
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A Parallel-Access Mapping Method for the Data Exchange Buffers Around DCT/IDCT in HEVC Encoders Based on Single-Port SRAMs

Abstract: In the high efficiency video coding (HEVC) standard, a notation of transform unit (TU) is introduced with 4 different sizes, i.e. 4×4, 8×8, 16×16 and 32×32, which results in at least two problems in the use of discrete cosine transform/inversed discrete cosine transform (DCT/IDCT). One is changeable input/output (I/O) format presented by DCT/IDCT when it deals with TUs of different sizes, which intensifies the inconformity during the data exchange with other modules. The other is the demand for high throughput… Show more

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Cited by 8 publications
(3 citation statements)
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“…Although this design can lead to higher throughput, there are many difficulties in reading and writing data. In response to this, Fan et al [21] proposed a parallel-access storage processing method, which provides an effective data access method for DCT and solves the storage difficulties caused by multiple TU sizes.…”
Section: A Limitation Of Idct Output Formatmentioning
confidence: 99%
“…Although this design can lead to higher throughput, there are many difficulties in reading and writing data. In response to this, Fan et al [21] proposed a parallel-access storage processing method, which provides an effective data access method for DCT and solves the storage difficulties caused by multiple TU sizes.…”
Section: A Limitation Of Idct Output Formatmentioning
confidence: 99%
“…The architecture still consumes large circuit area. Several works present low-cost transpose architecture to deal with the area overhead [14][15][16][17][18]. The multiplexer is used to control the 1-D inverse discrete cosine transform (IDCT) core for the calculation of 1-D and 2-D operations, and the 1-D IDCT core uses matrix decomposition to reduce the required circuit area.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, the transform size can be up to 32 × 32 in HEVC standard; thus, the transpose memory consumes large of circuit area. Several works present low-cost transpose architecture to deal with the area overhead [14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%