diff --git a/README.md b/README.md
index 357ece7..d2cf5ca 100644
--- a/README.md
+++ b/README.md
@@ -31,6 +31,7 @@ Please feel free to send me [pull requests](https://github.com/jbhuang0604/aweso
 * [Vision Science: Photons to Phenomenology](http://www.amazon.com/Vision-Science-Phenomenology-Stephen-Palmer/dp/0262161834/) - Stephen E. Palmer 1999
 * [Visual Object Recognition synthesis lecture](http://www.morganclaypool.com/doi/abs/10.2200/S00332ED1V01Y201103AIM011) - Kristen Grauman and Bastian Leibe 2011
 * [Computer Vision for Visual Effects](http://cvfxbook.com/) - Richard J. Radke, 2012
+* [High dynamic range imaging: acquisition, display, and image-based lighting](http://www.amazon.com/High-Dynamic-Range-Imaging-Second/dp/012374914X) - Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K 2010
 
 #### OpenCV Programming
 * [Learning OpenCV: Computer Vision with the OpenCV Library](http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134) - Gary Bradski and Adrian Kaehler
@@ -43,7 +44,7 @@ Please feel free to send me [pull requests](https://github.com/jbhuang0604/aweso
 * [Probabilistic Graphical Models: Principles and Techniques](http://pgm.stanford.edu/) - Daphne Koller and Nir Friedman 2009
 * [Pattern Classification](http://www.amazon.com/Pattern-Classification-2nd-Richard-Duda/dp/0471056693) - Peter E. Hart, David G. Stork, and Richard O. Duda 2000
 * [Machine Learning](http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077/) - Tom M. Mitchell 1997
-* [Gaussian processes for machine learning] (http://www.gaussianprocess.org/gpml/) - Carl Edward Rasmussen and Christopher K. I. Williams 2005
+* [Gaussian processes for machine learning](http://www.gaussianprocess.org/gpml/) - Carl Edward Rasmussen and Christopher K. I. Williams 2005
 * [Learning From Data](https://work.caltech.edu/telecourse.html)- Yaser S. Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin 2012
 * [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) - Michael Nielsen 2014
 * [Bayesian Reasoning and Machine Learning](http://www.cs.ucl.ac.uk/staff/d.barber/brml/) - David Barber, Cambridge University Press, 2012
@@ -245,6 +246,9 @@ Please feel free to send me [pull requests](https://github.com/jbhuang0604/aweso
   * Pablo F. Alcantarilla, Adrien Bartoli and Andrew J. Davison, "KAZE Features", ECCV 2012
 * [Local Binary Patterns](https://github.com/nourani/LBP)
 
+#### High Dynamic Range Imaging
+* [HDR_Toolbox](https://github.com/banterle/HDR_Toolbox)
+
 #### Low-level Vision
 
 ###### Stereo Vision