Name changed to Hydra Image Processor (HIP)

LICENSE.md

-#Hydra Signal Processor
+#Hydra Image Processor
 
 ##BSD 3-Clause License
 
@@ -15,7 +15,7 @@ modification, are permitted provided that the following conditions are met:
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.
 
-* Neither the name of Hydra Signal Processor nor the names of its
+* Neither the name of Hydra Image Processor nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.
 

readme.md

 <img src=logo.png  width="300px" height="250px"/>
 
-Hydra Signal Processor (HSP)
+Hydra Image Processor (HIP)
 ===
 
-Hydra Signal Processor is a hardware accelerated signal processing library written with [CUDA](https://developer.nvidia.com/cuda-zone). HSP aims to create a signal processing library that can be incorporated into many software tools. This library is licensed under BSD 3-Clause to encourage use in open-source and commercial software. My only plea is that if you find bugs or make changes that you contribute them back to this repository. Happy processing and enjoy!
+Hydra Image Processor is a hardware accelerated signal processing library written with [CUDA](https://developer.nvidia.com/cuda-zone). HIP aims to create a signal processing library that can be incorporated into many software tools. This library is licensed under BSD 3-Clause to encourage use in open-source and commercial software. My only plea is that if you find bugs or make changes that you contribute them back to this repository. Happy processing and enjoy!
 
 ##Dependencies
 

src/MATLAB/+HSP/+Local/HighPassFilter.m → src/MATLAB/+HIP/+Local/HighPassFilter.m

@@ -3,6 +3,6 @@ function arrayOut = HighPassFilter(arrayIn,sigmas,device,suppressWarning)
         warning('Falling back to matlab.');
     end     
      
-    arrayOut = HSP.Local.Gaussian(arrayIn,sigmas,[],[],true);
+    arrayOut = HIP.Local.Gaussian(arrayIn,sigmas,[],[],true);
     arrayOut = arrayOut - arrayIn;
 end