Project 1: Color Alignment
cs195-g: Computational Photography Patrick Doran
Spring 2010 pdoran
Directory
Metric: Sobel filter the image before scaling then NCC
The results on this page were computed by applying an image derivative filter of the image and then creating the multiscale image. Then the algorithm continues using the normalized cross correlation metric. It's the same as metric 4, except the Sobel filter is applied before scaling. It has equivalent results to using metric 5 (SSD instead of NCC), see image 3 - 00153v.jpg, image 15 - 01861a.jpg, and image 7 - 00398v.jpg.
Results
Stats Legend 
     image ##: file name
         size: [ vertical x horizontal ]
  green->blue: shift [ vertical, horizontal ]
    red->blue: shift [ vertical, horizontal ]
       border: crop [ top, left, bottom, right ]
         gray: [ 'assumed' gray value ]
      balance: scale [ red, green, blue ]
   normalizer: [ normalizes rgb values ]
          hue: threshold [ low, high ]
   saturation: threshold [ low, high ]
        value: threshold [ low, high ]
Original Stats Without White Balance With White Balance

Full Size 		Without white balance: 
     image 01: 00125v.jpg
         size: [ 341 x 400 ]
  green->blue: [      5,      2 ]
    red->blue: [     10,      1 ]
       border: [     26,     26,    339,    387 ]
          hue: [ 0.0000, 0.9989 ]
   saturation: [ 0.1607, 0.8283 ]
        value: [ 0.1686, 0.9059 ]
With white balance: 
         gray: [ 118.37 ]
      balance: [ 1.2200, 0.8562, 0.9878 ]
   normalizer: [ 311.10 ]
          hue: [ 0.0000, 0.9989 ]
   saturation: [ 0.1023, 0.8472 ]
        value: [ 0.1412, 0.7451 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 02: 00149v.jpg
         size: [ 341 x 397 ]
  green->blue: [      4,      2 ]
    red->blue: [      9,      2 ]
       border: [     27,     26,    324,    378 ]
          hue: [ 0.0000, 0.9987 ]
   saturation: [ 0.0202, 0.8219 ]
        value: [ 0.1255, 0.9804 ]
With white balance: 
         gray: [ 133.45 ]
      balance: [ 0.8946, 1.0635, 1.0617 ]
   normalizer: [ 271.19 ]
          hue: [ 0.0000, 0.9983 ]
   saturation: [ 0.0314, 0.8219 ]
        value: [ 0.1176, 0.9647 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 03: 00153v.jpg
         size: [ 341 x 394 ]
  green->blue: [      7,      3 ]
    red->blue: [     10,      2 ]
       border: [     11,     28,    336,    381 ]
          hue: [ 0.0000, 0.9990 ]
   saturation: [ 0.1023, 0.9771 ]
        value: [ 0.3569, 0.8980 ]
With white balance: 
         gray: [ 146.06 ]
      balance: [ 0.8262, 0.9957, 1.2734 ]
   normalizer: [ 318.36 ]
          hue: [ 0.0000, 0.9985 ]
   saturation: [ 0.0161, 0.9714 ]
        value: [ 0.2784, 0.8078 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 04: 00154v.jpg
         size: [ 341 x 398 ]
  green->blue: [      5,      0 ]
    red->blue: [     11,     -2 ]
       border: [      1,     25,    333,    381 ]
          hue: [ 0.0000, 0.9991 ]
   saturation: [ 0.0860, 0.9550 ]
        value: [ 0.2039, 0.9686 ]
With white balance: 
         gray: [ 140.75 ]
      balance: [ 0.8407, 0.9059, 1.4150 ]
   normalizer: [ 359.40 ]
          hue: [ 0.0000, 0.9985 ]
   saturation: [ 0.0388, 0.9419 ]
        value: [ 0.1255, 0.9725 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 05: 00163v.jpg
         size: [ 341 x 387 ]
  green->blue: [     -3,      1 ]
    red->blue: [     -4,      1 ]
       border: [     54,     10,    329,    377 ]
          hue: [ 0.0000, 0.9986 ]
   saturation: [ 0.0131, 0.9211 ]
        value: [ 0.1255, 0.9686 ]
With white balance: 
         gray: [ 107.87 ]
      balance: [ 0.9738, 0.9797, 1.0500 ]
   normalizer: [ 267.75 ]
          hue: [ 0.0000, 0.9989 ]
   saturation: [ 0.0494, 0.9167 ]
        value: [ 0.1216, 0.9686 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 06: 00270v.jpg
         size: [ 341 x 404 ]
  green->blue: [      3,      0 ]
    red->blue: [     12,      1 ]
       border: [     16,     25,    330,    378 ]
          hue: [ 0.0000, 0.9986 ]
   saturation: [ 0.0686, 0.9189 ]
        value: [ 0.0863, 0.9569 ]
With white balance: 
         gray: [ 125.41 ]
      balance: [ 1.2053, 0.9815, 0.8685 ]
   normalizer: [ 296.51 ]
          hue: [ 0.0000, 0.9987 ]
   saturation: [ 0.0168, 0.9082 ]
        value: [ 0.0745, 0.8235 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 07: 00398v.jpg
         size: [ 341 x 397 ]
  green->blue: [      5,      3 ]
    red->blue: [     11,      4 ]
       border: [     23,     19,    340,    375 ]
          hue: [ 0.0000, 0.9984 ]
   saturation: [ 0.0177, 0.6962 ]
        value: [ 0.1451, 0.9569 ]
With white balance: 
         gray: [ 166.80 ]
      balance: [ 0.9303, 1.0079, 1.0719 ]
   normalizer: [ 273.34 ]
          hue: [ 0.0000, 0.9981 ]
   saturation: [ 0.0702, 0.6667 ]
        value: [ 0.1255, 0.9569 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 08: 00458u.jpg
         size: [ 3238 x 3741 ]
  green->blue: [     42,      2 ]
    red->blue: [     86,     29 ]
       border: [    210,     65,   3178,   3695 ]
          hue: [ 0.0000, 0.9993 ]
   saturation: [ 0.0000, 0.9959 ]
        value: [ 0.0588, 0.9647 ]
With white balance: 
         gray: [ 164.77 ]
      balance: [ 0.9942, 1.0106, 0.9954 ]
   normalizer: [ 252.64 ]
          hue: [ 0.0000, 0.9993 ]
   saturation: [ 0.0081, 0.9959 ]
        value: [ 0.0588, 0.9804 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 09: 00564v.jpg
         size: [ 341 x 392 ]
  green->blue: [      5,      1 ]
    red->blue: [     11,      0 ]
       border: [     11,     18,    328,    370 ]
          hue: [ 0.0000, 0.9979 ]
   saturation: [ 0.0465, 0.8902 ]
        value: [ 0.0941, 0.9686 ]
With white balance: 
         gray: [ 107.29 ]
      balance: [ 1.1682, 0.8959, 0.9730 ]
   normalizer: [ 297.88 ]
          hue: [ 0.0000, 0.9986 ]
   saturation: [ 0.0889, 0.8788 ]
        value: [ 0.0824, 0.8118 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 10: 00911u.jpg
         size: [ 3254 x 3768 ]
  green->blue: [     14,     -9 ]
    red->blue: [    126,    -15 ]
       border: [    218,     30,   3225,   3714 ]
          hue: [ 0.0000, 0.9992 ]
   saturation: [ 0.0165, 0.9451 ]
        value: [ 0.0941, 0.9569 ]
With white balance: 
         gray: [ 157.26 ]
      balance: [ 0.9844, 1.0049, 1.0110 ]
   normalizer: [ 250.73 ]
          hue: [ 0.0000, 0.9992 ]
   saturation: [ 0.0285, 0.9474 ]
        value: [ 0.0941, 0.9843 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 11: 01043u.jpg
         size: [ 3202 x 3712 ]
  green->blue: [    -15,     10 ]
    red->blue: [     12,     16 ]
       border: [     98,    156,   3159,   3555 ]
          hue: [ 0.0000, 0.9992 ]
   saturation: [ 0.0391, 0.8769 ]
        value: [ 0.1725, 0.9216 ]
With white balance: 
         gray: [ 113.90 ]
      balance: [ 0.8335, 1.1548, 1.0703 ]
   normalizer: [ 289.87 ]
          hue: [ 0.0000, 0.9988 ]
   saturation: [ 0.0410, 0.8516 ]
        value: [ 0.1333, 0.8745 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 12: 01047u.jpg
         size: [ 3218 x 3741 ]
  green->blue: [     26,     20 ]
    red->blue: [     71,     33 ]
       border: [     88,    182,   3192,   3552 ]
          hue: [ 0.0000, 0.9990 ]
   saturation: [ 0.0795, 0.7722 ]
        value: [ 0.1725, 0.8510 ]
With white balance: 
         gray: [ 106.37 ]
      balance: [ 0.8499, 1.1512, 1.0475 ]
   normalizer: [ 291.24 ]
          hue: [ 0.0000, 0.9985 ]
   saturation: [ 0.0222, 0.7730 ]
        value: [ 0.1294, 0.8078 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 13: 01167v.jpg
         size: [ 341 x 394 ]
  green->blue: [      5,      0 ]
    red->blue: [     12,     -2 ]
       border: [     11,     14,    329,    369 ]
          hue: [ 0.0000, 0.9973 ]
   saturation: [ 0.0340, 0.7737 ]
        value: [ 0.2706, 0.9255 ]
With white balance: 
         gray: [ 151.76 ]
      balance: [ 1.2603, 0.9171, 0.8960 ]
   normalizer: [ 321.38 ]
          hue: [ 0.0000, 0.9979 ]
   saturation: [ 0.0276, 0.7348 ]
        value: [ 0.2118, 0.8902 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 14: 01657u.jpg
         size: [ 3212 x 3761 ]
  green->blue: [     56,      9 ]
    red->blue: [    120,     13 ]
       border: [    111,    181,   3090,   3644 ]
          hue: [ 0.0000, 0.9990 ]
   saturation: [ 0.0500, 0.8915 ]
        value: [ 0.2000, 0.9529 ]
With white balance: 
         gray: [ 124.11 ]
      balance: [ 0.9058, 1.1400, 0.9815 ]
   normalizer: [ 279.30 ]
          hue: [ 0.0000, 0.9989 ]
   saturation: [ 0.0294, 0.8852 ]
        value: [ 0.1725, 0.9216 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 15: 01861a.jpg
         size: [ 3228 x 3741 ]
  green->blue: [     71,     39 ]
    red->blue: [    101,     63 ]
       border: [    152,    126,   3185,   3614 ]
          hue: [ 0.0000, 0.9992 ]
   saturation: [ 0.0163, 0.8584 ]
        value: [ 0.1843, 0.9569 ]
With white balance: 
         gray: [ 142.54 ]
      balance: [ 0.8905, 0.9913, 1.1517 ]
   normalizer: [ 293.68 ]
          hue: [ 0.0000, 0.9989 ]
   saturation: [ 0.0262, 0.8523 ]
        value: [ 0.1608, 0.9412 ]
Full Size
Full Size

Full Size 		Without white balance: 
     image 16: 31421v.jpg
         size: [ 341 x 398 ]
  green->blue: [      8,      0 ]
    red->blue: [     13,      0 ]
       border: [     11,     20,    310,    377 ]
          hue: [ 0.0000, 0.9967 ]
   saturation: [ 0.0463, 0.8462 ]
        value: [ 0.0627, 0.8510 ]
With white balance: 
         gray: [ 137.38 ]
      balance: [ 1.0968, 1.0633, 0.8712 ]
   normalizer: [ 239.10 ]
          hue: [ 0.0000, 0.9977 ]
   saturation: [ 0.0154, 0.8611 ]
        value: [ 0.0667, 0.9020 ]
Full Size
Full Size