hkapp / cniic

A Compilation of Naive Ideas for Image Compression

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C-niic

cniic (pronounced "C"-nic) is a Compilation of Naive Ideas for Image Compression.

What this is about

Have you ever asked yourself the following question?

If I didn't know about the existing efficient image compression techniques and formats, how would I go about compressing an image?

Well, I did. And this is my attempt at an answer.

This repo implements a number of naive solutions to the general problem of image compression and measures their performance.

Current status

Lossless codecs

Lossless codecs

Legend:

  • png: The lossless PNG codec with default parameters
  • Hufman: Hufman-coding the pixel colors
  • zip-dict: Zip-inspired online dictionary building
  • zip-back: Zip-inspired lookback compression
  • hilbert-rle: Run-Length Encoding on a Hilbert curve traversal
  • hilbert-zip: zip-dict on a Hilbert curve traversal
  • delta: Hufman encode neighbouring pixel differences

Lossy codecs

Lossy codecs

The error is computed as the mean square error of each pixel in every image.

Legend:

  • png: The lossless PNG codec with default parameters
  • Hufman: Hufman-coding the pixel colors
  • cluster-colors: cluster the image colors using K-means, then apply Hufman-coding
    • results are shown for 16 colors (top-left), 32, 64, 128 and 256 (bottom-right)
  • voronoi: cluster the pixels using K-means (position + color). Store only the clusters and reconstruct the image as a Voronoi diagram.
    • results are shown for 64 centroids (left), 128, 256, 512, 1024 and 2048 (right)
  • zip-dict: Zip-inspired online dictionary building
  • zip-back: Zip-inspired lookback compression
  • hilbert-rle: Run-Length Encoding on a Hilbert curve traversal
  • hilbert-rle-approx: Approximate Run-Length Encoding on a Hilbert curve traversal
    • running average with an allowed color distance of 1 (bottom right), 2, 4, 8, 16 (top left)
  • hilbert-zip: zip-dict on a Hilbert curve traversal
  • delta: Hufman encode neighbouring pixel differences

ASCII art codec descriptions

Who doesn't love ASCII art? In this section, it's used to help explain the various codecs listed above.

zip-dict

input:  0x01   0x02   0x01 0x02 0x01 0x02        0x0001 -> 0x01
          |      |    ^^^^^^^^^ ^^^^^^^^^          ...
          |      |        |       |              0x00ff -> 0xff
          v      v        v       v        +...> 0x0100 -> 0x01 0x02
output: 0x0001 0x0002   0x0100 0x0100      :     0x0101 -> 0x0100 0x0100
        ^^^^^^^^^^^^^    ^ ^ ^ ^ ^ ^       :                ^ ^ ^ ^ ^ ^
              +............................+             = 0x01 0x02 0x01 0x02

zip-back

                           .................................
                           v v v v                         :
                                                           :
                                .................          :
                                v v v v         :          :
                  input:  0x01 0x01 0x02 0x02  0x01 0x02  0x01 0x01
                         [^^^^^^^^^^^^^^^^^^^][^^^^^^^^^][^^^^^^^^^]
output:                      |                  |           |
  1. Write the sequence:  ---+                  |           |
     0x01 0x01 0x02 0x02                        |           |
  2. Go back 3 bytes      ----------------------+           |
     Copy 2 bytes                                           |
  3. Go back 6 bytes      ----------------------------------+
     Copy 2 bytes

hilbert codecs

   Hilbert             input
  traversal            image
                    +----------+
 5--6  9--a         |6  8  7  7|
 |  |  |  |         |          |
 4  7--8  b         |6  8  7  8|
 |        |         |          |
 3--2  d--c         |7  5  9  9|
    |  |            |          |
 0--1  e--f         |3  3  8  9|
                    +----------+
     |                   |
     +---------+---------+
               |
               v
 0 1 2 3 4 5 6 7 8 9 a b c d e f
+-------------------------------+
|3 3 5 7 6 6 8 8 7 7 7 8 9 9 8 9|
+-------------------------------+
|
+--> hilbert-rle
|
|    [3 3] [5] [7] [6 6] [8 8] [7 7 7] [8] [9 9] [8] [9]
|      |    |   ...
|      v    v
|     2x3  1x5  1x7  2x6  2x8  3x7  1x8  2x9  1x8  1x9
|
|
+--> hilbert-rle-approx
|    assuming allowance = 1
|
|    idx  value  distance            output  running-avg
|     0     3                          no       3
|     1     3    abs(3 - 3) = 0 < 1    no       3
|     2     5    abs(3 - 5) = 2 > 1    2x3      5
|     3     7    abs(5 - 7) = 2 > 1    1x5      7
|     4     6    abs(7 - 6) = 1        no       6.5
|     5     6    abs(6.5-6) = .5 < 1   no       6.33
|     6     8    1.66 > 1              3x6      8
|                .
|                .
|                .
|
|    output: 2x3 1x5 3x6 6x8 4x9
|
|
+--> hilbert-zip

     3 3 5 7 6 6 8 8 7 7 7 8 9 9 8 9
                  |
               zip-dict
                  |
                  v
     0x0003 0x0003 0x0005 0x0007 0x0006 ...

delta

           Hilbert             input
          traversal            image
                            +----------+
         5--6  9--a         |6  8  7  7|
         |  |  |  |         |          |
         4  7--8  b         |6  8  7  8|
         |        |         |          |
         3--2  d--c         |7  5  9  9|
            |  |            |          |
         0--1  e--f         |3  3  8  9|
                            +----------+
             |                   |
             +---------+---------+
                       |
                       v
  0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f
+------------------------------------------------+
| 3  3  5  7  6  6  8  8  7  7  7  8  9  9  8  9 |
+------------------------------------------------+
                       |
            difference with previous
                       |
                       v
+------------------------------------------------+
| 3  0  2  2 -1  0  2  0 -1  0  0  1  1  0 -1  1 |
+------------------------------------------------+
                       |
                 Hufman encoding  -----------v
                       |                     *
                       |                 0 /   \ 1
                       |                 /       \
                       |               0           *
                       |               0       0 /   \ 1
                       |                       /       \
                       |                     *           *
                       |                 0 /  \ 1     0 /  \ 1
                       |                 /     \       /     \
                       |              -1        1     2        3
                       |              100      101   110      111
                       |
                       v
output: 111 0 110 110 100 0 110 0 100 0 0 101 101 0 100 101

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A Compilation of Naive Ideas for Image Compression


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