Changes between Initial Version and Version 1 of libcaca/study/introduction


Ignore:
Timestamp:
08/03/2009 11:59:18 PM (15 years ago)
Author:
Sam Hocevar
Comment:

rename chapter 1 to introduction

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  • libcaca/study/introduction

    v1 v1  
     1= Libcaca study: the science behind colour ASCII art =
     2
     3This document is an attempt at extending the leverage of skilled resources by uncovering and addressing the challenges the industry faces today in the area of colour ASCII art generation.
     4
     5Seriously, guys. If you think that what libcaca does is easy, you either don’t know what you are talking about, or we want you in the team.
     6
     7== Foreword ==
     8
     9Meet Lena. She will guide us through this document, because the seriousness of a scientific document in the area of computer graphics can be measured by the number of times Lena appears in it. She truly is the Mona Lisa of image processing. ![2]
     10
     11[[Image(source:/web/trunk/static/study/lena256.png,alt="Lena (256×256)")]]
     12[[Image(source:/web/trunk/static/study/gradient256.png,alt="colour gradient (64×256)")]]
     13[[Image(source:/web/trunk/static/study/lena256bw.png,alt="Lena (256×256BW)")]]
     14[[Image(source:/web/trunk/static/study/gradient256bw.png,alt="greyscale gradient (32×256)")]]
     15
     16This document makes a lot of assumptions, such as the fact that input images are made of pixels that have either one (grey level) or three (red, green and blue) values uniformly spread between 0 and 1 (with regards to human contrast perception). Real life is more complicated than that, but that is beyond the scope of this document for now.
     17Table of contents
     18
     19 * [wiki:libcaca/study/1 1. Colour quantisation]
     20   * 1.1. Black and white thresholding
     21   * 1.2. Greyscale thresholding
     22   * 1.3. Dynamic thresholding
     23   * 1.4. Random dithering
     24 * [wiki:libcaca/study/2 2. Halftoning]
     25   * 2.1. Halftoning patterns
     26   * 2.2. Screen artifacts
     27   * 2.3. Ordered dithering
     28   * 2.4. Random ordered dithering
     29   * 2.5. Non-rectangular dither tiles
     30   * 2.6. Supercell dithering
     31   * 2.7. Void and cluster method
     32 * [wiki:libcaca/study/3 3. Error diffusion]
     33   * 3.1. Floyd-Steinberg and !JaJuNi error diffusion
     34   * 3.2. Floyd-Steinberg derivatives
     35   * 3.3. Changing image parsing direction
     36   * 3.4. Variable coefficients error diffusion
     37   * 3.5. Block error diffusion
     38   * 3.6. Sub-block error diffusion
     39   * 3.7. Direct binary search
     40 * [wiki:libcaca/study/4 4. Model-based dithering]
     41   * 4.1. Gaussian human visual system model
     42   * 4.2. Direct binary search
     43   * 4.3 Comparing dithering algorithms
     44 * [wiki:libcaca/study/5 5. Greyscale dithering]
     45   * 5.1. Introducing gamma
     46   * 5.2. Gamma correction
     47   * 5.3. Greyscale sub-block error diffusion
     48 * [wiki:libcaca/study/6 6. Colour dithering]
     49   * 6.1. Separate-space dithering
     50   * 6.2. Accounting for other dimensions
     51   * 6.3. Reducing visual artifacts
     52   * 6.4. Colour sub-block error diffusion
     53 * [wiki:libcaca/study/7 7. Photographic mosaics]
     54   * 7.1. Image classification
     55   * 7.2. Error diffusion
     56   * 7.3. Colour ASCII art
     57 * [wiki:libcaca/study/bibliography Bibliography]