abstract revised for bss_image.ipynb

doc/ipython-notebooks/ica/bss_image.ipynb

@@ -1,6 +1,7 @@
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@@ -27,7 +28,7 @@
      "cell_type": "markdown",
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      "source": [
-      "In this notebook I want to demonstrate how we can apply the Independent Component Analysis (ICA) algorithms in Shogun to do Blind Source Separation (BSS) on images rather than typical 1D signals. This example program is going to be very similar to the bss_audio notebook only using images rather than audio files."
+      "This notebook illustrates <a href=\"http://en.wikipedia.org/wiki/Blind_signal_separation\">Blind Source Seperation</a>(BSS) on images using <a href=\"http://en.wikipedia.org/wiki/Independent_component_analysis\">Independent Component Analysis</a> (ICA) in Shogun. This is very similar to the <a href=\"http://www.shogun-toolbox.org/static/notebook/current/bss_audio.html\">bss_audio notebook</a> except that here we have used images instead of audio signal."
      ]
     },
     {