An LSI for low bit-rate image compression using vector quantization

被引：0

作者：

Kobayashi, K ^{[1
]}

Nakamura, N ^{[1
]}

Terada, K ^{[1
]}

Onodera, H ^{[1
]}

Tamaru, K ^{[1
]}

机构：

[1] Kyoto Univ, Grad Sch Engn, Dept Elect & Commun, Kyoto 6068501, Japan

来源：

IEICE TRANSACTIONS ON ELECTRONICS | 1998年 / E81C卷 / 05期

关键词：

parallel processor; memory-based; vector quantization; low bit-rate image compression; low power; SIMD;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.

引用

页码：718 / 724

页数：7

共 50 条

[1] LOW BIT-RATE IMAGE COMPRESSION SCHEMES BASED ON VECTOR QUANTIZATION
Hu, Yu-Chen
[J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2005, 5 (04) : 745 - 764
[2] Low Bit-Rate Image Compression via Discrete Wavelet Transform and Classified Vector Quantization
Guo, Huijie
Zhao, Baojun
[J]. INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
[3] Low bit-rate vector quantization with progressive transmission
Poggi, G
[J]. EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, 1997, 8 (02): : 171 - 177
[4] LOW BIT-RATE VIDEO CODING USING WAVELET VECTOR QUANTIZATION
SAMPSON, DG
DASILVA, EAB
GHANBARI, M
[J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1995, 142 (03): : 141 - 148
[5] A replenishment technique for low bit-rate video compression based on wavelets and vector quantization
Karayiannis, NB
Li, YD
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2001, 11 (05) : 658 - 663
[6] Very low bit-rate vector quantization of LSP parameters
Merazka, F
Berkani, D
[J]. COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - NEURAL NETWORKS & ADVANCED CONTROL STRATEGIES, 1999, 54 : 374 - 379
[7] SAR image compression at very low bit-rate
Zhai, JF
Wang, ZS
[J]. 2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 2167 - 2170
[8] Learned Low Bit-rate Image Compression with Adversarial Mechanism
Yang, Jiayu
Yang, Chunhui
Ma, Yi
Liu, Shiyi
Wang, Ronggang
[J]. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 575 - 579
[9] HVS-Based Low Bit-Rate Image Compression
Wang, Yuer
Zhu, Zhongjie
Chen, Weidong
[J]. SENSORS, MECHATRONICS AND AUTOMATION, 2014, 511-512 : 441 - 446
[10] ADAPTIVE VECTOR QUANTIZATION FOR FIXED BIT-RATE VIDEOCODING
LAVAGETTO, F
ZAPPATORE, S
[J]. SIGNAL PROCESSING, 1993, 34 (01) : 19 - 31

← 1 2 3 4 5 →