Heat diffusion blurs photothermal images with increasing depth
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[1] Mario Huemer,et al. Deep learning approaches for thermographic imaging , 2020 .
[2] M. Haltmeier,et al. Linking information theory and thermodynamics to spatial resolution in photothermal and photoacoustic imaging , 2020, Journal of Applied Physics.
[3] P. Burgholzer,et al. Photoacoustic reconstruction from photothermal measurements including prior information , 2020, Photoacoustics.
[4] P. Burgholzer,et al. Super-resolution thermographic imaging using blind structured illumination , 2017 .
[5] P. Burgholzer,et al. Three-dimensional thermographic imaging using a virtual wave concept , 2016, 1610.00868.
[6] P. Burgholzer. Thermodynamic Limits of Spatial Resolution in Active Thermography , 2015, International journal of thermophysics.
[7] P. Burgholzer,et al. Limits of Spatial Resolution for Thermography and Other Non-destructive Imaging Methods Based on Diffusion Waves , 2013, International journal of thermophysics.
[8] S. K. Patch,et al. Ultrasound attenuation and thermo/photo/opto-acoustic tomography: theoretical foundation , 2007, SPIE BiOS.
[9] S. Lloyd. Excuse our ignorance , 2006 .
[10] Agustín Salazar,et al. Energy propagation of thermal waves , 2006 .
[11] A. J. Short,et al. The foundations of statistical mechanics from entanglement: Individual states vs. averages , 2005, quant-ph/0511225.
[12] Christ Glorieux,et al. Photothermal depth profiling: Analysis of reconstruction errors , 1999 .
[13] Christ Glorieux,et al. Depth profiling of thermally inhomogeneous materials by neural network recognition of photothermal time domain data , 1999 .
[14] Christ Glorieux,et al. Thermal depth profile reconstruction by neural network recognition of the photothermal frequency spectrum , 1996 .
[15] C. W. Gardiner,et al. Handbook of stochastic methods - for physics, chemistry and the natural sciences, Second Edition , 1986, Springer series in synergetics.
[16] C. Glorieux,et al. Optothermal depth profiling by neural network infrared radiometry signal recognition , 2005 .
[17] P. Hansen. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .