Algorithm and Architecture Design of a Hardware-Efficient Frame Rate Upconversion Engine

被引:0
|
作者
Lee, Yu-Hsuan [1 ]
Huang, Meng-Ren [1 ]
机构
[1] Yuan Ze Univ, Dept Elect Engn, Taoyuan 32003, Taiwan
关键词
3-D recursive search (3DRS); CMOS; frame interpolation; frame-rate up-conversion (FRUC); hardware efficiencies; hardware architecture; motion compensation; motion estimation (ME); motion vector (MV); peak signal-to-noise ratio (PSNR); TRUE-MOTION ESTIMATION; SEARCH ALGORITHM;
D O I
10.1109/TVLSI.2018.2849438
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Owing to the limited response time of liquid crystal displays (LCDs), the motion-blurring effect is a critical problem to overcome for LCD applications. Among the available motion-blurring reduction methods, frame-rate upconversion (FRUC) presents an outstanding performance; however, it also yields a high computational load, which causes a design challenge for a hardware-efficient FRUC engine running advanced specifications. In this paper, a hardware-efficient FRUC algorithm and architecture were proposed, comprising three core techniques: bidirectional 3-D recursive search (BD-3DRS), spatial and temporal motion vector refinement (ST-MVR), and spatial and temporal overlapped-block motion compensation (ST-OBMC). BD-3DRS provides an initial MV with minor computational overhead. Subsequently, ST-MVR refines the initial MV to generate a more accurate final MV. With this final MV, ST-OBMC has finely processed the interpolated block, especially for the textural smoothness across block boundaries. The experiment results indicated that compared with other sophisticated FRUC methods, computation was reduced by 80% with a minor degradation in a peak signal-to-noise ratio of less than 2%. The hardware architecture was realized using the CMOS technology, and the chip size was 1.20 x 1.20 mm(2). The working frequency was 270 MHz with a power consumption of 128.08 mW. The maximum throughput was as high as 508 Mpixels/s, which can support a resolution of 3840 x 2160 from 60 to 120 Hz. Compared with other FRUC architectures, this paper has demonstrated superior hardware efficiencies in terms of area usage and energy consumption.
引用
收藏
页码:2553 / 2566
页数:14
相关论文
共 50 条
  • [1] Algorithm and Architecture Design of a Hardware-Efficient Image Dehazing Engine
    Lee, Yu-Hsuan
    Wu, Bo-Hua
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 29 (07) : 2146 - 2161
  • [2] Scalable Hardware-Efficient Architecture for Frame Synchronization in High-Data-Rate Satellite Receivers
    Crocetti, Luca
    Pagani, Emanuele
    Bertolucci, Matteo
    Fanucci, Luca
    [J]. ELECTRONICS, 2024, 13 (03)
  • [3] Design and implementation of hardware-efficient architecture for saturation-based image dehazing algorithm
    Anuja George
    E. P. Jayakumar
    [J]. Journal of Real-Time Image Processing, 2023, 20
  • [4] Design and implementation of hardware-efficient architecture for saturation-based image dehazing algorithm
    George, Anuja
    Jayakumar, E. P.
    [J]. JOURNAL OF REAL-TIME IMAGE PROCESSING, 2023, 20 (05)
  • [5] A Hardware-Efficient Post-Processing Algorithm for Motion Compensated Frame Rate Up-Conversion
    Wang, Hang
    Wang, Tiancheng
    Mi, Yunqi
    Sun, Hongbin
    Zheng, Nanning
    [J]. 2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2019,
  • [6] Hardware-efficient algorithm and architecture design with memory and complexity reduction for semi-global matching
    Chang, Cheng-Tsung
    Chen, Pin-Wei
    Chin, Wen-Long
    Chou, Shih-Hsiang
    Yang, Yu-Hua
    [J]. INTEGRATION-THE VLSI JOURNAL, 2023, 92 : 99 - 105
  • [7] A New Hardware-Efficient Algorithm and Reconfigurable Architecture for Image Contrast Enhancement
    Huang, Shih-Chia
    Chen, Wen-Chieh
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (10) : 4426 - 4437
  • [8] A Hardware-Efficient BCH Encoder Design
    Hsieh, Jui-Hung
    Hung, King-Chu
    Li, Hong-chi
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 367 - 368
  • [9] An Algorithm for the Design of Low-Power Hardware-Efficient FIR Filters
    Aktan, Mustafa
    Yurdakul, Arda
    Duendar, Guenhan
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2008, 55 (06) : 1536 - 1545
  • [10] Hardware-efficient architecture design of wavelet-based adaptive visible watennarking
    Fan, YC
    Van, LD
    Huang, CM
    Tsao, HW
    [J]. PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS 2005, 2005, : 399 - 403