Fail:JPEG example subimage - equalized.svg
Selle SVG-faili PNG-vormingus eelvaate suurus: 400 × 400 pikslit. Teised eraldusvõimed: 240 × 240 pikslit | 480 × 480 pikslit | 768 × 768 pikslit | 1024 × 1024 pikslit | 2048 × 2048 pikslit.
Algfail (SVG-fail, algsuurus 400 × 400 pikslit, faili suurus: 3 KB)
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See fail ja sellest kastist allapoole jääv kirjeldus pärinevad kesksest failivaramust Wikimedia Commons. |
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Faili lehekülg Commonsis |
Lühikirjeldus
| Kirjeldus | |
| Kuupäev | |
| Allikas |
Own work in Inkscape |
| Autor | en:User:Cburnett |
| Luba (Faili edasikasutus) |
GFDL (image); GPL (source code) |
| Teised versioonid | Image:JPEG example subimage.svg — Non-equalized image |
Source code
I generated the normalized data by writing a simple python script:
import math
img = [
[52, 55, 61, 66, 70, 61, 64, 73],
[63, 59, 55, 90, 109, 85, 69, 72],
[62, 59, 68, 113, 144, 104, 66, 73],
[63, 58, 71, 122, 154, 106, 70, 69],
[67, 61, 68, 104, 126, 88, 68, 70],
[79, 65, 60, 70, 77, 68, 58, 75],
[85, 71, 64, 59, 55, 61, 65, 83],
[87, 79, 69, 68, 65, 76, 78, 94]
]
# Number of pixels
N = len(img) * len(img[0])
# Initialize histogram and cumulative distribution function (cdf)
hist = {}
cdf = {}
norm_cdf = {}
for i in range(255):
hist[i] = 0
cdf[i] = 0
norm_cdf[i] = 0
# Create histogram
for row in img:
for val in row:
hist[val] += 1
# Create cdf
for i in range(255):
for j in range(i+1):
cdf[i] += hist[j]
norm_cdf[i] = int(math.floor(float(cdf[i]-1)/63*255))
newimg = [
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]
]
for i in range(8):
for j in range(8):
newimg[i][j] = norm_cdf[ img[i][j] ]
print '+-------+-----------+-----+----------------+'
print '| %5s | %9s | %3s | %14s |' % ('Value', 'Histogram', 'cdf', 'Normalized cdf')
print '+-------+-----------+-----+----------------+'
for i in range(255):
if hist[i] == 0: continue
print '| %5s | %9s | %3s | %14s |' % (i, hist[i], cdf[i], norm_cdf[i])
print '+-------+-----------+-----+----------------+'
print ''
print 'Original subimage:'
print ''
for i in range(8):
print ('%4d'*8) % tuple(img[i])
print ''
print ''
print 'Equalized subimage:'
print ''
for i in range(8):
print ('%4d'*8) % tuple(newimg[i])
Sample output:
+-------+-----------+-----+----------------+ | Value | Histogram | cdf | Normalized cdf | +-------+-----------+-----+----------------+ | 52 | 1 | 1 | 0 | | 55 | 3 | 4 | 12 | | 58 | 2 | 6 | 20 | | 59 | 3 | 9 | 32 | | 60 | 1 | 10 | 36 | | 61 | 4 | 14 | 52 | | 62 | 1 | 15 | 56 | | 63 | 2 | 17 | 64 | | 64 | 2 | 19 | 72 | | 65 | 3 | 22 | 85 | | 66 | 2 | 24 | 93 | | 67 | 1 | 25 | 97 | | 68 | 5 | 30 | 117 | | 69 | 3 | 33 | 129 | | 70 | 4 | 37 | 145 | | 71 | 2 | 39 | 153 | | 72 | 1 | 40 | 157 | | 73 | 2 | 42 | 165 | | 75 | 1 | 43 | 170 | | 76 | 1 | 44 | 174 | | 77 | 1 | 45 | 178 | | 78 | 1 | 46 | 182 | | 79 | 2 | 48 | 190 | | 83 | 1 | 49 | 194 | | 85 | 2 | 51 | 202 | | 87 | 1 | 52 | 206 | | 88 | 1 | 53 | 210 | | 90 | 1 | 54 | 214 | | 94 | 1 | 55 | 218 | | 104 | 2 | 57 | 226 | | 106 | 1 | 58 | 230 | | 109 | 1 | 59 | 234 | | 113 | 1 | 60 | 238 | | 122 | 1 | 61 | 242 | | 126 | 1 | 62 | 246 | | 144 | 1 | 63 | 250 | | 154 | 1 | 64 | 255 | +-------+-----------+-----+----------------+ Original subimage: 52 55 61 66 70 61 64 73 63 59 55 90 109 85 69 72 62 59 68 113 144 104 66 73 63 58 71 122 154 106 70 69 67 61 68 104 126 88 68 70 79 65 60 70 77 68 58 75 85 71 64 59 55 61 65 83 87 79 69 68 65 76 78 94 Equalized subimage: 0 12 52 93 145 52 72 165 64 32 12 214 234 202 129 157 56 32 117 238 250 226 93 165 64 20 153 242 255 230 145 129 97 52 117 226 246 210 117 145 190 85 36 145 178 117 20 170 202 153 72 32 12 52 85 194 206 190 129 117 85 174 182 218
Litsents
Image is licensed under the GFDL:
Autoriõiguse omanikuna avaldan selle teose järgmiste litsentside all:
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Luba on antud selle dokumendi kopeerimiseks, avaldamiseks ja/või muutmiseks GNU Vaba Dokumentatsiooni Litsentsi versiooni 1.2 või hilisema Vaba Tarkvara Fondi avaldatud versiooni tingimuste alusel; muutumatute osadeta, esikaane tekstideta ja tagakaane tekstideta. Sellest loast on lisatud koopia leheküljel pealkirjaga "GNU Free Documentation License". |
  
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See fail kuulub jurisdiktsiooniga sidumata Creative Commonsi litsentsi "Autorile viitamine + jagamine samadel tingimustel 3.0" alla. | |
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| See litsentsimärgis lisati sellele failile GFDL-i litsentsimisuuenduse raames. |
Sa võid valida endale sobiva litsentsi.
Source code is licensed under the GPL version 2:
Autoriõiguse omanikuna avaldan selle teose järgmise litsentsi all:
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This work is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; version 2. This work is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See version 2 of the GNU General Public License for more details. |
Faili ajalugu
Klõpsa kuupäeva ja kellaaega, et näha sel ajahetkel kasutusel olnud failiversiooni.
| Kuupäev/kellaaeg | Pisipilt | Mõõtmed | Kasutaja | Kommentaar | |
|---|---|---|---|---|---|
| viimane | 23. oktoober 2022, kell 16:16 | | 400 × 400 (3 KB) | Smasongarrison | seems to have passed the validation check after slimmed down with svgomg // Editing SVG source code using c:User:Rillke/SVGedit.js |
| 4. jaanuar 2008, kell 03:55 |  | 400 × 400 (22 KB) | Cburnett | {{Information |Description={{en|8x8 pixel subimage used as an example for JPEG that has been histogram equalization.}} |Source=Own work in Inkscape |Date=January 3, 2008 |Author=en:User:Cburnett |Pe |
Faili kasutus
Seda faili kasutavad järgmised 2 lehekülge:
Globaalne failikasutus
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- Faili kasutus vikis fa.wikipedia.org
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- Faili kasutus vikis it.wikipedia.org
- Faili kasutus vikis pl.wikipedia.org
- Faili kasutus vikis sk.wikipedia.org
- Faili kasutus vikis uk.wiktionary.org
- Faili kasutus vikis zh.wikipedia.org
