diff --git a/index.html b/index.html
index 820a32e..0d9ab23 100755
--- a/index.html
+++ b/index.html
@@ -5,7 +5,7 @@
 	<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
 
   <link href='http://fonts.googleapis.com/css?family=Varela+Round|Terminal+Dosis:400,700,600' rel='stylesheet' type='text/css'>
-
+ 
 	<title>Color Thief</title>
 	<meta name="description" content="">
 	<meta name="author" content="">
@@ -66,4 +66,4 @@
 
 <script src="index.js"></script>
 </body>
-</html>
\ No newline at end of file
+</html>
diff --git a/js/color-thief.js b/js/color-thief.js
index 8f7e267..df3abf4 100644
--- a/js/color-thief.js
+++ b/js/color-thief.js
@@ -4,12 +4,13 @@
  *
  * Licensed under the Creative Commons Attribution 2.5 License - http://creativecommons.org/licenses/by/2.5/
  *
- * The median cut palette function uses quantize.js which is written by Nick Rabinowitz
- * and licensed under the MIT license. Big props to Nick as this is where the magic happens.
+ * # Thanks
+ * Nick Rabinowitz: Created quantize.js which is used by the median cut palette function. This handles all the hard clustering math.
+ * John Schulz: All around mad genius who helped clean and optimize the code. @JFSIII
  *
- * == Classes
+ * ## Classes
  * CanvasImage
- * == Functions
+ * ## Functions
  * getDominantColor()
  * createPalette()
  * getAverageRGB()
@@ -66,8 +67,7 @@ CanvasImage.prototype.removeCanvas = function () {
  * returns {r: num, g: num, b: num}
  *
  * Use the median cut algorithm provided by quantize.js to cluster similar
- * colors and return the base color from the largest cluster.
- */
+ * colors and return the base color from the largest cluster. */
 function getDominantColor(sourceImage) {
 
     var palette = createPalette(sourceImage, 5);
@@ -120,6 +120,7 @@ function createPalette(sourceImage, colorCount) {
     image.removeCanvas();
 
     return palette;
+
 }
 
 
@@ -224,4 +225,4 @@ function createAreaBasedPalette(sourceImage, colorCount) {
     }
 
     return palette;
-}
\ No newline at end of file
+}