An Efficient Wavelet-Based ROI Coding for Multiple Regions

被引:1
作者
Shinoda, Kazuma [1 ]
Kobayashi, Naoki [1 ]
Katoh, Ayako [1 ]
Komagata, Hideki [1 ]
Ishikawa, Masahiro [1 ]
Murakami, Yuri [2 ]
Yamaguchi, Masahiro [2 ]
Abe, Tokiya [3 ]
Hashiguchi, Akinori [3 ]
Sakamoto, Michiie [3 ]
机构
[1] Saitama Med Univ, Fac Hlth & Med Care, Hidaka 3501241, Japan
[2] Tokyo Inst Technol, Global Sci Informat & Comp Ctr, Yokohama, Kanagawa 2268503, Japan
[3] Keio Univ, Sch Med, Tokyo 1608582, Japan
关键词
ROI coding; JPEG2000; wavelet transform; IMAGE COMPRESSION;
D O I
10.1587/transfun.E98.A.1006
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Region of interest (ROI) coding is a useful function for many applications. JPEG2000 supports ROI coding and can decode ROIs preferentially regardless of the shape and number of the regions. However, if the number of regions is quite large, the ROI coding performance of JPEG2000 declines because the code-stream includes many useless non-ROI codes. This paper proposes a wavelet-based ROI coding method suited for multiple ROIs. The proposed wavelet transform does not access any non-ROIs when transforming the ROIs. Additionally, the proposed method eliminates the need for unnecessary coding of the bits in the higher bit planes of non-ROI regions by adding an ROI map to the code-stream. The experimental results show that the proposed method achieves a higher peak signal-to-noise ratio than the ROI coding of JPEG2000. The proposed method can be applied to both max-shift and scaling-based ROI coding.
引用
收藏
页码:1006 / 1020
页数:15
相关论文
共 21 条
[11]  
Kiyuna T, 2008, IEEE INT C BIOINF BI, P1069
[12]   Efficient, low-complexity image coding with a set-partitioning embedded block coder [J].
Pearlman, WA ;
Islam, A ;
Nagaraj, N ;
Said, A .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2004, 14 (11) :1219-1235
[13]   A new, fast, and efficient image codec based on set partitioning in hierarchical trees [J].
Said, A ;
Pearlman, WA .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1996, 6 (03) :243-250
[14]   3-D Scalable Medical Image Compression With Optimized Volume of Interest Coding [J].
Sanchez, Victor ;
Abugharbieh, Rafeef ;
Nasiopoulos, Panos .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2010, 29 (10) :1808-1820
[15]  
Shinoda K., 2013, P INT WORKSH AD IM T, P488
[16]   Implementation of Prioritised ROI Coding for Medical Image Archiving using JPEG2000 [J].
Sridhar, K. V. .
ICSES 2008 INTERNATIONAL CONFERENCE ON SIGNALS AND ELECTRONIC SYSTEMS, CONFERENCE PROCEEDINGS, 2008, :239-242
[17]   TOPOLOGICAL STRUCTURAL-ANALYSIS OF DIGITIZED BINARY IMAGES BY BORDER FOLLOWING [J].
SUZUKI, S ;
ABE, K .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 30 (01) :32-46
[18]   Adaptive scanning methods for wavelet difference reduction in lossy image compression [J].
Walker, JS ;
Nguyen, TQ .
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2000, :182-185
[19]   An Optimal Transportation Approach for Nuclear Structure-Based Pathology [J].
Wang, Wei ;
Ozolek, John A. ;
Slepcev, Dejan ;
Lee, Ann B. ;
Chen, Cheng ;
Rohde, Gustavo K. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2011, 30 (03) :621-631
[20]  
Watanabe O., 2002, Proceedings. APCCAS. Asia-Pacific Conference on Circuits and Systems (Cat No.02EX636), P535, DOI 10.1109/APCCAS.2002.1115057