Artificial Neural Networks (ANN) Image Compression
Bottleneck-type Neural Net Architecture for Image Compression for laboratory work.
Library
Armadillo C++ linear algebra library
The CImg Library for image processing
for Ubuntu:
sudo apt-get install libarmadillo-dev libarmadillo6
sudo apt-get install cimg-dev
Before installing Armadillo, it's recommended to install LAPACK, BLAS and ATLAS
Input:
n – height of rectangle;
m – width of rectangle;
p – number of neuron for second layer;
e – error degree;
α – learning step;
argv[1] - path to image
Output:
Z – compression ratio;
Iteration – number of iterations;
E – total error for the training sample;
Example
Input Image
Output Image(n:8; m:8; p:48; e:256; a:0.001; Iteration = 515; Z = 3.36831)
Output Image(n:8; m:8; p:32; e:450; a:0.001; Iteration = 561; Z = 5.05237)
Output Image(n:8; m:8; p:16; e:973; a:0.001; Iteration = 490; Z = 10.1042)
