Lossless medical-image compression using Multiple Array Technique

被引:0
|
作者
Devaraj, K [1 ]
Munukur, RK [1 ]
Kesavamurthy, T [1 ]
机构
[1] PSG Coll Technol, Dept Elect & Commun, Coimbatore, Tamil Nadu, India
关键词
Multiple Array Technique; lossless image compression; medical image compression; Huffman coding; telemedicine; gray array;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Multiple Array Technique proposed in this paper is a lossless compression technique that involves no transformation, and achieves a very good compression ratio. This technique is based on forming three arrays to indicate and code the changes in the adjacent pixels. The arrays thus formed can be further compressed using Huffman coding. The computational complexity is greatly reduced thus producing faster compressions and decompressions. Due to the combination of simplicity and compression potential of this technique, the algorithm "enjoys the best of both worlds". This technique attains compression ratios similar to or superior than the lossless image compression standards presently available. Due to the high compression ratio, the average bits required to represent a pixel is greatly reduced. Thus, this algorithm is optimally suited for telemedicine having fast transmission rates.
引用
收藏
页码:837 / 840
页数:4
相关论文
共 50 条
  • [41] Multiple Layer Displacement Mapping with Lossless Image Compression
    Chun, Youngjae
    Park, Sunyong
    Oh, Kyoungsu
    ENTERTAINMENT FOR EDUCATION: DIGITAL TECHNIQUES AND SYSTEMS, 2010, 6249 : 518 - 528
  • [42] Near lossless medical image compression using block BWT–MTF and hybrid fractal compression techniques
    C. Peter Devadoss
    B. Sankaragomathi
    Cluster Computing, 2019, 22 : 12929 - 12937
  • [43] Secure medical-image transmission using independent component analysis
    Park, S
    Ham, FM
    PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 : 849 - 851
  • [44] Lossless Image Compression using Valley Transform
    Moon, Young-Ho
    Park, Sung-Bum
    Choi, Jong-Bum
    Choi, Dai-Woong
    Yoon, Jae-Won
    Shim, Woo-Sung
    Lee, Kyo-Hyuk
    ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5, 2009, : 621 - 624
  • [45] Lossless compression technique using ILZW with DFRLC
    Biala, V., 1600, International Journal of Computer Science Issues (IJCSI) (09): : 3 - 3
  • [46] Lossless image compression using predictive codebooks
    Mandyam, G
    Ahmed, N
    Magotra, N
    DIGITAL SIGNAL PROCESSING, 1997, 7 (03) : 147 - 152
  • [47] Lossless image compression and encryption using SCAN
    Maniccam, SS
    Bourbakis, NG
    PATTERN RECOGNITION, 2001, 34 (06) : 1229 - 1245
  • [48] WMNet: A Lossless Watermarking Technique Using Deep Learning for Medical Image Authentication
    Chen, Yueh-Peng
    Fan, Tzuo-Yau
    Chao, Her-Chang
    ELECTRONICS, 2021, 10 (08)
  • [49] An IoT Method for Telemedicine: Lossless Medical Image Compression Using Local Adaptive Blocks
    Zafar, Sherin
    Iftekhar, Nida
    Yadav, Amita
    Ahilan, A.
    Kumar, S. N.
    Jeyam, A.
    IEEE SENSORS JOURNAL, 2022, 22 (15) : 15345 - 15352
  • [50] Near lossless image compression using lossless Hartley like transform
    Meher, PK
    Srikanthan, T
    Gupta, J
    Agarwal, HK
    ICICS-PCM 2003, VOLS 1-3, PROCEEDINGS, 2003, : 213 - 217