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HomeWeb Front-endH5 TutorialUse canvas to achieve image filter effects with demonstration_html5 tutorial skills

This is a very interesting special effect, simulating the dot-like grainy effect that appears when a camera captures a TV screen. The size of the particles is realized through the transformation matrix and can be adjusted arbitrarily. Friends who are interested in research can try more effects. The code has not been optimized and is just a rough demo. You can improve it yourself.

1. Get image data

Copy code
The code is as follows:

img.src = 'http://bloglaotou.duapp.com/wp-content/themes/frontopen2/tools/filter/image2.jpg';
canvas.width = img.width ;
canvas.height = img.height;
var context = canvas.getContext(“2d”);
context.drawImage(img, 0, 0);
var canvasData = context.getImageData (0, 0, canvas.width, canvas.height);

2. Set the filter matrix

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The code is as follows:

var m_VideoType=0;
var pattern=new Array();
switch (m_VideoType)
{
case0://VIDEO_TYPE.VIDEO_STAGGERED:
{
pattern = [
0, 1,
0, 2,
1, 2,
1, 0 ,
2, 0,
2, 1,
];
break;
}
case1://VIDEO_TYPE.VIDEO_TRIPED:
{
pattern = [
0,
1,
2,
];
break;
}
case2://VIDEO_TYPE.VIDEO_3X3:
{
pattern =
[
0, 1, 2,
2, 0, 1,
1, 2, 0,
];
break;
}
default:
{
pattern =
[
0, 1, 2, 0, 0,
1, 1, 1, 2, 0,
0, 1, 2, 2, 2 ,
0, 0, 1, 2, 0,
0, 1, 1, 1, 2,
2, 0, 1, 2, 2,
0, 0, 0, 1 , 2,
2, 0, 1, 1, 1,
2, 2, 0, 1, 2,
2, 0, 0, 0, 1,
1, 2, 0 , 1, 1,
2, 2, 2, 0, 1,
1, 2, 0, 0, 0,
1, 1, 2, 0, 1,
1, 2 , 2, 2, 0,
];
break;
}
}
var pattern_width = [ 2, 1, 3, 5 ];
var pattern_height = [6, 3, 3, 15 ];

3. Get filtered data

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The code is as follows:

for ( var x = 0; x for ( var y = 0; y // Index of the pixel in the array
var idx = (x y * canvasData.width) * 4;
var r = canvasData.data[idx 0];
var g = canvasData.data[idx 1];
var b = canvasData.data[idx 2];
var nWidth = pattern_width[m_VideoType];
var nHeight = pattern_height[m_VideoType];
var index = nWidth * (y % nHeight) (x % nWidth);
index = pattern[index];
if (index == 0)
var r = fclamp0255(2 * r);
if (index == 1)
var g = fclamp0255(2 * g);
if (index == 2)
var b = fclamp0255(2 * b);
// assign gray scale value
canvasData.data[idx 0] = r; // Red channel
canvasData.data[idx 1] = g; // Green channel
canvasData.data[idx 2] = b ; // Blue channel
canvasData.data[idx 3] = 255; // Alpha channel
// Add black border
if(x (canvasData.width - 8) || y > (canvasData.height - 8))
{
canvasData.data[idx 0] = 0;
canvasData.data[idx 1] = 0;
canvasData.data[idx 2] = 0;
}
}
}

4. Write filtered data

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The code is as follows:

context.putImageData(canvasData, 0, 0 );

5. Reference materials
Dai Zhenjun ImageFilter open source project
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