Reconstruction and enhancement of active thermographic image sequences
By S. Shepard, J. Lhota, Bruce A. Rubadeux, David Y. Wang, T. Ahmed. 2003
485 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/f7f44771c9d544ef27db3f1823d3edcf19074f8c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Clemente Ibarra-Castanedo
- Laura Vega
- Francisco G. Bulnes
- Julio Molleda
- Xavier P. V. Maldague
- Jon Guerediaga
- Pablo Venegas
- Rubén Usamentiaga
In Electrical and Electronic Engineering
In Mechanics of Materials
- Clemente Ibarra-Castanedo
- Laura Vega
- Francisco G. Bulnes
- Julio Molleda
- Jon Guerediaga
- Pablo Venegas
- Rubén Usamentiaga
- Krishnendu Chatterjee
Citations in the corpus
- Infrared thermography processing based on higher-order statistics (2010, background): “Thermal signal reconstruction (TSR) stores the n+1 coefficients of an n degree polynomial, which fits the decay curve of each pixel in a double logarithmic space [7].”
- A comparison of the pulsed, lock-in and frequency modulated thermography nondestructive evaluation techniques (2011, methodology): “Thus, to make a fair comparison, the pulsed images were enhanced with the time series reconstruction (TSR) algorithm[12].”
- Infrared Thermography for Temperature Measurement and Non-Destructive Testing (2014, methodology): “This method is often called thermographic signal reconstruction (TSR) [120].”