1 files changed, 0 insertions, 31 deletions

diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/entropy2.m b/SD-VBS/benchmarks/texture_synthesis/src/matlab/entropy2.m
deleted file mode 100755
index 68a2a9f..0000000
--- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/entropy2.m
+++ /dev/null
@@ -1,31 +0,0 @@
-% E = ENTROPY2(MTX,BINSIZE) 
-% 
-% Compute the first-order sample entropy of MTX.  Samples of VEC are
-% first discretized.  Optional argument BINSIZE controls the
-% discretization, and defaults to 256/(max(VEC)-min(VEC)).
-%
-% NOTE: This is a heavily  biased estimate of entropy when you
-% don't have much data.
-
-% Eero Simoncelli, 6/96.
-
-function res = entropy2(mtx,binsize)
-
-%% Ensure it's a vector, not a matrix.
-vec = mtx(:);
-[mn,mx] = range2(vec);
-
-if (exist('binsize') == 1)
-  nbins = max((mx-mn)/binsize, 1);
-else
-  nbins = 256;
-end
-  
-[bincount,bins] = histo(vec,nbins);
-
-%% Collect non-zero bins:
-H = bincount(find(bincount));
-H = H/sum(H);
-
-res = -sum(H .* log2(H));
-