画像フィルタリング高速化するよ@iOS

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1. ը૾ϑΟϧλϦϯά
   ߴ଎Խ͢ΔΑˏJ04 !UFNPLJ
2.  ը૾ϑΟϧλϦϯάͬͯԿʁ
    ը૾ϑΟϧλϦϯάͷ࣮૷
    ը૾ϑΟϧλϦϯάΛߴ଎Խʂ
3.  ը૾ϑΟϧλϦϯάͬͯԿʁ
    ը૾ϑΟϧλϦϯάͷ࣮૷
    ը૾ϑΟϧλϦϯάΛߴ଎Խʂ
4. ͜ͷϨφ͞ΜࣸਅΛ
5. ΅͔ͨ͠Γ
6. ྠֲͱΓͩͨ͠Γ
7. ϞβΠΫ
   ͔͚ͨΓ
   ͢Δ΍ͭͰ͢ ը૾αϯϓϧʮϨφʯͷਖ਼ମ͸ʮ1-":#0:ʯࢽͷ
   ࠷ଟൢച෦਺Λه࿥ͨ͠ϓϨΠϝΠτ
   IUUQHJHB[JOFOFUOFXT@MFOOB
8.  ը૾ϑΟϧλϦϯάͬͯԿʁ
    ը૾ϑΟϧλϦϯάͷ࣮૷
    ը૾ϑΟϧλϦϯάΛߴ଎Խʂ
9. Ұൠతͳը૾σʔλ
10. QJYFM 3(#"
11. QJYFM 3FE
    (SFFO
    #MVF
    "MQIB
    νϟϯωϧʹόΠτʹdͷ஋
    ܭνϟϯωϧʹόΠτ
12. ը૾શମ 3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
    3(#"3(#"3(#"3(#"3(#"3(#"3(#"3(#"
13. ৞ΈࠐΈԋࢉ
14. ৞ΈࠐΈΧʔωϧ          ೖྗը૾                          ग़ྗ  º
    
    º
    
    º
    
    
    º
    
    º
    
    º
    
    º
    
    º
    
    º
    ×
    
    
    
    
    º 
15. ৞ΈࠐΈΧʔωϧ
    $POWPMVUJPO
    ,FSOFM
16. ྫ͑͹ɺ
17. ΅͔͠ʢҠಈฏۉʣ         
18. ΅͔͠ʢՙॏฏۉʣ         
19. Τοδநग़ʢਫฏʣ         
20. Τοδநग़ʢਨ௚ʣ         
21. ઌӶԽ         
22. αΠζ΋͍Ζ͍Ζ
23. Ψ΢γΞϯΧʔωϧº          ˞ઌ΄Ͳͷʮ΅͔͠ʢՙॏฏۉʣʯͱಉ͡
24. Ψ΢γΞϯΧʔωϧº                         
25. Ψ΢γΞϯΧʔωϧº                                                 
26. ܭࢉྔ
27. for ( x of image ) { for ( y of image ) { for ( x of kernel ) { for ( y of kernel ) { for ( channel ) { operation } } } } }
28.  ສճͷԋࢉ w ೖྗը૾ɿ3(#"
    Y
    w ΧʔωϧɿΨ΢γΞϯΧʔωϧº
    w 
    º
    º
    º
    º
    
      
29. ॲཧ࣌ؒ
30. ͜ΜͳΞϓϦ
    ͭͬͯ͘ݕূ
31. ໿'14 w σόΠεɿJ1IPOF
    
    w ೖྗը૾ɿ3(#"
    Y
    w ΧʔωϧɿΨ΢γΞϯΧʔωϧº
32. ࢖͑ͨ΋Μ͡Όͳ͍ʜ
33.  ը૾ϑΟϧλϦϯάͬͯԿʁ
     ը૾ϑΟϧλϦϯάͷ࣮૷
     ը૾ϑΟϧλϦϯάΛߴ଎Խʂ
34. ߴ଎Խ w ΞϧΰϦζϜͷ޻෉ͰܭࢉྔΛݮΒ͢
    w σόΠεͷܭࢉࢿݯΛ࠷େݶʹར༻
35. ߴ଎Խ w ΞϧΰϦζϜͷ޻෉ͰܭࢉྔΛݮΒ͢
    w σόΠεͷܭࢉࢿݯΛ࠷େݶʹར༻ ˠ
    ͪ͜Β͕͜ͷεϥΠυͷςʔϚͰ͢ɻ
36. ϚϧνίΞ w ը૾Λෳ਺ͷΤϦΞʹ෼ׂ͢Δ
 ʢྫʣը૾ͷࠨ൒෼ͷӈ൒෼
    w σόΠεͷίΞ਺෼εϨουΛ࡞੒͠
 ֤εϨουʹΤϦΞΛׂΓ౰ͯΔ
37. ˣ
    '14
    ˣ w J1IPOF
    
    ͸
    ίΞ
    ˠ
    εϨου
    w εϨουॲཧ͸($%Ͱ؆୯ʹ
    w εϨουͷΦʔόʔϔου͕େ͖͍ʁ
 ΋ͬͱ͕Μ͹ΕΔ͸ͣʜ
    w ͞ΕͲίΞͰ͸خ͠͞͸ബ͍
38. 4*.% w 4JOHMF
    *OTUSVDUJPO
    .VMUJQMF
    %BUB
    w ౓ͷ໋ྩͰෳ਺ͷσʔλΛԋࢉ
    w ϕΫτϧԋࢉɺύοΫυԋࢉ
    w $16ͷ֦ு໋ྩͱͯ͠
 Yͷ..944&౳
    "3.ͷ/&0/
39. ී௨ͷ৐ࢉ int a[4] = { 1, 2, 3, 4 }; int b[4] = { 5, 6, 7, 8 }; int c[4]; for ( int i=0; i<4; i++) { c[i] = a[i] * b[i]; }
40. "3.
    /&0/Ͱ৐ࢉ
    ʢίϯύΠϥ૊ΈࠐΈؔ਺ʣ int32_t a = { 1, 2, 3, 4 }; int32_t b = { 5, 6, 7, 8 }; int32_t c; c = vmulq_s32( a, b ); IUUQXXXBSNDPNKBQSPEVDUTQSPDFTTPSTUFDIOPMPHJFTOFPOQIQ
41. ˢ
    '14
    ˢ w গ͠଎͘ͳͬͨʁ
    w ॲཧΛ࠷దԽ͢Ε͹΋ͬͱ͍͚Δʁ
42. ͦͯ͠ɺϝχʔίΞ΁
43. ϚϧνίΞ $PSF $PSF $PSF $PSF γϯάϧίΞ $PSF ϝχʔίΞ
44. ϝχʔίΞ w େྔͷίΞΛ࣋ͭϓϩηοαͰܭࢉ
    w (16
    
    /7*%*"
    ".%
    *OUFM
    *NBHJOBUJPO
    w *OUFM
    9FPO
    1IJ
45. (16Ͱը૾ॲཧ!J04 w J1IPOF
    
    ͷ
    (16
    ͸
    1PXFS73
    w $PSF*NBHFGSBNFXPSL
    ͷ
    $*'JMUFS
    w "DDFMFSBUFGSBNFXPSL
    ͷ
    W*NBHF
    w 0QFO$-ʢJ04Ͱ͸࢖͍෺ʹͳΒͳ͍ʣ
    w 0QFO(-
    (-4-Ͱ͕Μ͹Δʢ໘౗ʜʣ 6*&WPMVUJPOதౡ૱ࢯͷ7JEFP
    4IBEFSΞϓϦ΍(16*NBHFϥΠϒϥϦ͸(-4-Ͱ͕Μ͹ͬͯ·͢
46. $*'JMUFS
    ˢˢ
    '14
    ˢˢ
    ௒଎ʂ CIImage * src = [CIImage imageWithCVPixelBuffer:imageBuffer]; CIFilter * filter = [CIFilter filterWithName:@"CIGaussianBlur"]; [filter setValue:src forKey:@"inputImage"]; [filter setValue:[NSNumber numberWithFloat:1.f] forKey:@"inputRadius"]; CIImage * dst = filter.outputImage; ˞ΧʔωϧαΠζ͕ෆ໌ͷͨΊຊདྷൺֱ͢΂͖Ͱ͸ͳ͍͕ʜ
47. W*NBHF
    ˢˢˢ
    '14
    ˢˢˢ
    ര଎ʂ const vImage_Buffer src = { CVPixelBufferGetBaseAddress(buffer), height, width, bytesPerRow }; const vImage_Buffer dst = { malloc(bufferSize), height, width, bytesPerRow }; Pixel_8888 backgroundColor = {0,0,0,0}; vImageConvolve_ARGB8888(&src, &dst, NULL, 0, 0, gaussianKernel, 7, 7, divisor, backgroundColor, kvImageCopyInPlace);
48. (16࢖͏Ͱ͠ΐʂ
49. ͪͳΈʹ0QFO$7
    ˠ
    '14 w ී௨ʹ$16Ͱԋࢉ
    w $6%"࣮૷͕͋ΔΒ͍͠
    HQV(QV.BU
    w 0QFO$-࣮૷͕͋ΔΒ͍͠
    PDM.BU cv::Mat src = cv::Mat(height, width, CV_8UC4, baseAddress); cv::Mat dst = cv::Mat(height, width, CV_8UC4); cv::Size kernelSize(7, 7); cv::GaussianBlur(src, dst, kernelSize, 1.f);
50. ͓ΘΓ