DCT-BASED STILL IMAGE COMPRESSION ICS WITH BIT-RATE CONTROL

被引：3
|
作者：
NAKAGAWA, M
SASAKI, M
ISHIZAWA, Y
MIYANO, Y
YAMAZAKI, M
KONISHI, K
KANESHIGE, T
HISATOMI, S
机构：
[1] TOSHIBA CO LTD,CTR RES & DEV,YOKOHAMA,JAPAN
[2] TOSHIBA CO LTD,VIDEO & ELECTR MEDIA ENGN LAB,YOKOHAMA,JAPAN
[3] TOSHIBA AUDIO VIDEO ENGN CO LTD,YOKOHAMA,JAPAN
来源：
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 1992年 / 38卷 / 03期
关键词：
D O I：
10.1109/30.156759
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：
Compression and coding ICs for still images based on DCT (Discrete Cosine Transform) have been developed using a new algorithm for bit-rate control[1][2]. This paper describes these ICs. The JPEG (Joint Photographic Expert Group) has worked for international standardization of compression and coding methods for continuous-tone still images. The compression and coding method used in these ICs conforms to the JPEG standard. These ICs have been developed for a digital still camera system using memory cards as the recording medium, and they have a bit-rate control function in order to guarantee the number of images recorded on a card. These ICs have applications not only in a digital still camera system, but also in other still image systems.
引用
收藏
页码：711 / 717
页数：7
相关论文
共 50 条
  • [31] Low bit-rate compression of underwater image based on human visual system
    Yuan, Fei
    Zhan, Lihui
    Pan, Panwang
    Cheng, En
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 91
  • [32] Incorporating primal sketch based learning into low bit-rate image compression
    Li, Yang
    Sun, Xiaoyan
    Xiong, Hongkai
    Wu, Feng
    2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 1301 - +
  • [33] DCT-based medical image compression using machine learning
    Kamil Dimililer
    Signal, Image and Video Processing, 2022, 16 : 55 - 62
  • [34] DCT-based medical image compression using machine learning
    Dimililer, Kamil
    SIGNAL IMAGE AND VIDEO PROCESSING, 2022, 16 (01) : 55 - 62
  • [35] Objective image quality metrics for DCT-based video compression
    Oguz, H
    Faibish, A
    Faibish, S
    Cotter, G
    SMPTE JOURNAL, 2002, 111 (09): : 385 - 392
  • [36] Bit-rate allocation control and quality improvement for color channels in HMVQ image compression
    Guo, J
    Shrivastava, P
    Kepley, K
    Yang, S
    Mitra, S
    Nutter, B
    17TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2004, : 110 - 115
  • [37] Learned Low Bit-rate Image Compression with Adversarial Mechanism
    Yang, Jiayu
    Yang, Chunhui
    Ma, Yi
    Liu, Shiyi
    Wang, Ronggang
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 575 - 579
  • [38] Enhancement of DCT-based Image Compression using Trigonometric Functions
    Hachemi, Mohammed Lotfi
    Oman, Mohammed
    Baroudi, Mekki
    PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES AND ENGINEERING (ICCSE), 2018,
  • [39] Extremely Low Bit-Rate Image Compression via Invertible Image Generation
    Gao, Fangyuan
    Deng, Xin
    Jing, Junpeng
    Zou, Xin
    Xu, Mai
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (08) : 6993 - 7004
  • [40] Buffer control algorithm for low bit-rate video compression
    Ng, KT
    Chan, SC
    Ng, TS
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL I, 1996, : 685 - 688
12345