Spectral edge: gradient-preserving spectral mapping for image fusion

被引:5
作者
Connah, David [1 ]
Drew, Mark S. [2 ]
Finlayson, Graham D. [3 ]
机构
[1] Univ Bradford, Ctr Visual Comp, Bradford BD7 1DP, W Yorkshire, England
[2] Simon Fraser Univ, Sch Comp Sci, Vancouver, BC V5A 1S6, Canada
[3] Univ E Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England
基金
加拿大自然科学与工程研究理事会; 英国工程与自然科学研究理事会; 芬兰科学院;
关键词
D O I
10.1364/JOSAA.32.002384
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper describes a novel approach to image fusion for color display. Our goal is to generate an output image whose gradient matches that of the input as closely as possible. We achieve this using a constrained contrast mapping paradigm in the gradient domain, where the structure tensor of a high-dimensional gradient representation is mapped exactly to that of a low-dimensional gradient field which is then reintegrated to form an output. Constraints on output colors are provided by an initial RGB rendering. Initially, we motivate our solution with a simple "ansatz" (educated guess) for projecting higher-D contrast onto color gradients, which we expand to a more rigorous theorem to incorporate color constraints. The solution to these constrained optimizations is closed-form, allowing for simple and hence fast and efficient algorithms. The approach can map any N-D image data to any M-D output and can be used in a variety of applications using the same basic algorithm. In this paper, we focus on the problem of mapping N-D inputs to 3D color outputs. We present results in five applications: hyperspectral remote sensing, fusion of color and near-infrared or clear-filter images, multilighting imaging, dark flash, and color visualization of magnetic resonance imaging diffusion-tensor imaging. (C) 2015 Optical Society of America
引用
收藏
页码:2384 / 2396
页数:13
相关论文
共 44 条
  • [1] Adelson EH, 1985, Proc. SPIE, V575, P173, DOI DOI 10.1117/12.966501
  • [2] An algebraic approach to surface reconstruction from gradient fields
    Agrawal, A
    Chellappa, R
    Raskar, R
    [J]. TENTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1 AND 2, PROCEEDINGS, 2005, : 174 - 181
  • [3] [Anonymous], LANDS IM
  • [4] [Anonymous], IS T SID 17 COL IM C
  • [5] [Anonymous], AVIRIS AIRB VIS INFR
  • [6] [Anonymous], 2000, INFORM FUSION
  • [7] Log-euclidean metrics for fast and simple calculus on diffusion tensors
    Arsigny, Vincent
    Fillard, Pierre
    Pennec, Xavier
    Ayache, Nicholas
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2006, 56 (02) : 411 - 421
  • [8] GradientShop: A Gradient-Domain Optimization Framework for Image and Video Filtering
    Bhat, Pravin
    Zitnick, C. Lawrence
    Cohen, Michael
    Curless, Brian
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2010, 29 (02):
  • [9] Campbell J.B., 2011, INTRO REMOTE SENSING, V5th edn, DOI DOI 10.1080/10106048709354126
  • [10] Connah D., 2014, UK patent, Patent No. [GB0914982.4, 09149824]