Backward compatible JPEG lossy-to-lossless compression of medical data

被引:0
|
作者
Chen, Heng [1 ,2 ]
Braeckman, Geert [1 ,2 ]
Munteanu, Adrian [1 ,2 ]
Schelkens, Peter [1 ,2 ]
机构
[1] Vrije Univ Brussel, Dept Elect & Informat, Pl Laan 2, Brussels, Belgium
[2] iMinds, Dept Future Media & Imaging, Ghent, Belgium
关键词
JPEG; lossy-to-lossless coding; medical image compression; FACTORIZATIONS;
D O I
10.1117/12.2027112
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
This paper presents a two-layered lossy-to-lossless still image coding system for medical images. The proposed system is compliant with widely used JPEG standard, in the sense that the base layer of the system is compressed by a conventional JPEG encoder. The enhancement layer includes extra information of the difference between the original medical image and a JPEG compressed version. It is compressed losslessly and its bitstream is embedded in the base layer codestream. Performance evaluations of single-layer and two-layer lossless compression are both carried out on a set of medical images. Single-layer lossless compression results show that JPEG 2000 delivers similar performance as JPEG-LS, and that both outperform JPEG XR and PNG. The experimental results of two-layer lossless compression demonstrate that the proposed system outperforms an earlier proposed JPEG based coding system with residual coding, and yields similar results as JPEG 2000 and JPEG-LS standard while providing quality scalability and backward compatibility to JPEG.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images
    Hernandez-Cabronero, Miguel
    Sanchez, Victor
    Blanes, Ian
    Auli-Llinas, Francesc
    Marcellin, Michael W.
    Serra-Sagrista, Joan
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 38 (01) : 21 - 32
  • [32] Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest
    Li, Zhongqiang
    Ramos, Alexandra
    Li, Zheng
    Osborn, Michelle L.
    Zaid, Waleed
    Li, Xin
    Li, Yanping
    Xu, Jian
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 83
  • [33] Hyperspectral Image Lossy-to-Lossless Compression Using the 3D Embedded ZeroBlock Coding Alogrithm
    Hou, Ying
    Liu, Guizhong
    2008 INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS, 2008, : 106 - 111
  • [34] Visually lossless adaptive compression for medical images with JPEG 2000
    Wu, D
    Tan, DM
    Wu, HR
    2004 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS, PROCEEDINGS, 2004, : 96 - 100
  • [35] Unified Lossy and Near-Lossless Hyperspectral Image Compression Based on JPEG 2000
    Carvajal, Gisela
    Penna, Barbara
    Magli, Enrico
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2008, 5 (04) : 593 - 597
  • [36] Lightweight Lossy/Lossless ECG Compression for Medical IoT Systems
    Chang, Yangyang
    Sobelman, Gerald E.
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (07): : 12450 - 12458
  • [37] Lossy Compression for Lossless Prediction
    Dubois, Yann
    Bloem-Reddy, Benjamin
    Ullrich, Karen
    Maddison, Chris J.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [38] Comparison on accuracy of image matching between lossy JPEG compression and lossy JPEG 2000 compression
    Matsuoka, Ryuji
    Sone, Mitsuo
    Sudo, Noboru
    Yokotsuka, Hideyo
    Shirai, Naoki
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XIX, 2013, 8892
  • [39] mspack: efficient lossless and lossy mass spectrometry data compression
    Hanau, Felix
    Rost, Hannes
    Ochoa, Idoia
    BIOINFORMATICS, 2021, 37 (21) : 3923 - 3925
  • [40] Lossy-to-lossless ROI coding of chromosome images using modified SPIHT and EBCOT
    Liu, ZM
    Hua, JP
    Xiong, ZX
    Wu, QA
    Castleman, K
    2002 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, PROCEEDINGS, 2002, : 317 - 320