Simultaneous enhancement of spatial resolution and dynamic range from multiple images

被引:0
作者
Choi, Jongseong [1 ]
Kang, Moon Gi [1 ]
机构
[1] Yonsei Univ, Inst TMS Informat Technol, Seoul 120749, South Korea
来源
PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS AND IMAGING | 2007年
关键词
imaging and image processing; image reconstruction; resolution enhancement; dynamic range enhancement;
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
Since digital image sensors are invented, the approaches to enhance spatial resolution and dynamic range have been studied independently in conjunction with limitations of image sensors. In practical situations, since observations suffer from limitations of both spatial resolution and dynamic range, it is reasonable to address them in a unified context. In this paper, the image reconstruction algorithm which simultaneously enhances spatial resolution and dynamic range is proposed. The image degradation process including limited spatial resolution and limited dynamic range is modelled. With the observation model, the maximum a posteriori estimates of the response function of the imaging system as well as the single high resolution and high dynamic range image are obtained. Experimental results indicate that the proposed algorithm outperforms the conventional approaches that perform the high resolution and high dynamic range reconstruction sequentially with respect to both objective and subjective criteria.
引用
收藏
页码:173 / 178
页数:6
相关论文
共 15 条
  • [1] Deberec P.E., 1997, SIGGRAPH 97, P369, DOI DOI 10.1145/258734.258884
  • [2] Robust, object-based high-resolution image reconstruction from low-resolution video
    Eren, PE
    Sezan, MI
    Tekalp, AM
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (10) : 1446 - 1451
  • [3] High-resolution image reconstruction from multiple, differently exposed images
    Gunturk, BK
    Gevrekci, M
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2006, 13 (04) : 197 - 200
  • [4] High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system
    Hardie, RC
    Barnard, KJ
    Bognar, JG
    Armstrong, EE
    Watson, EA
    [J]. OPTICAL ENGINEERING, 1998, 37 (01) : 247 - 260
  • [5] HONG MC, 1997, P 1997 INT C IM PROC, V2, P474
  • [6] Generalized multichannel image deconvolution approach and its applications
    Kang, MG
    [J]. OPTICAL ENGINEERING, 1998, 37 (11) : 2953 - 2964
  • [7] KANG MG, 2003, SPIE MILESTONE SERIE
  • [8] Recursive high-resolution reconstruction of blurred multiframe images
    Kim, S. P.
    Su, Wen-Yu
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1993, 2 (04) : 534 - 539
  • [9] RECURSIVE RECONSTRUCTION OF HIGH-RESOLUTION IMAGE FROM NOISY UNDERSAMPLED MULTIFRAMES
    KIM, SP
    BOSE, NK
    VALENZUELA, HM
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (06): : 1013 - 1027
  • [10] SIGNAL-PROCESSING BASED METHOD FOR ACQUIRING VERY HIGH-RESOLUTION IMAGES WITH MULTIPLE CAMERAS AND ITS THEORETICAL-ANALYSIS
    KOMATSU, T
    AIZAWA, K
    IGARASHI, T
    SAITO, T
    [J]. IEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND VISION, 1993, 140 (01): : 19 - 25