项目中需要用到HTML5模糊图像,以前用GDI,GDI+中都有现成的组件来实现,HTML5中如何实现?
1.createImageData()
2.getImageData()
3.putImageData()
以上3个函数即可实现,用法和奥义,自己百度吧,我就不重复叙述了,没多大的意义。
以下是实现模糊算法的JS,其实还有种2B级算法就是分布矩阵,这样效率提高很多倍,不过效果很差,羽化的效果不强。
实现代码:
function stackBlurImage( imageID, canvasID, radius, blurAlphaChannel )
{
var img = document.getElementById( imageID );
var w = img.naturalWidth;
var h = img.naturalHeight;
var canvas = document.getElementById( canvasID );
canvas.style.width = w + "px";
canvas.style.height = h + "px";
canvas.width = w;
canvas.height = h;
var cOntext= canvas.getContext("2d");
context.clearRect( 0, 0, w, h );
context.drawImage( img, 0, 0 );
if ( isNaN(radius) || radius <1 ) return;
if ( blurAlphaChannel )
stackBlurCanvasRGBA( canvasID, 0, 0, w, h, radius );
else
stackBlurCanvasRGB( canvasID, 0, 0, w, h, radius );
}
function stackBlurCanvasRGBA( id, top_x, top_y, width, height, radius )
{
if ( isNaN(radius) || radius <1 ) return;
radius |= 0;
var canvas = document.getElementById( id );
var cOntext= canvas.getContext("2d");
var imageData;
try {
try {
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
try {
netscape.security.PrivilegeManager.enablePrivilege("UniversalBrowserRead");
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
alert("Cannot access local image");
throw new Error("unable to access local image data: " + e);
return;
}
}
} catch(e) {
alert("Cannot access image");
throw new Error("unable to access image data: " + e);
}
var pixels = imageData.data;
var x, y, i, p, yp, yi, yw, r_sum, g_sum, b_sum, a_sum,
r_out_sum, g_out_sum, b_out_sum, a_out_sum,
r_in_sum, g_in_sum, b_in_sum, a_in_sum,
pr, pg, pb, pa, rbs;
var div = radius + radius + 1;
var w4 = width <<2;
var widthMinus1 = width - 1;
var heightMinus1 = height - 1;
var radiusPlus1 = radius + 1;
var sumFactor = radiusPlus1 * ( radiusPlus1 + 1 ) / 2;
var stackStart = new BlurStack();
var stack = stackStart;
for ( i = 1; i
yi += 4;
}
yw += width;
}
for ( x = 0; x
g_in_sum = b_in_sum = a_in_sum = r_in_sum = g_sum = b_sum = a_sum = r_sum = 0;
yi = x <<2;
r_out_sum = radiusPlus1 * ( pr = pixels[yi]);
g_out_sum = radiusPlus1 * ( pg = pixels[yi+1]);
b_out_sum = radiusPlus1 * ( pb = pixels[yi+2]);
a_out_sum = radiusPlus1 * ( pa = pixels[yi+3]);
r_sum += sumFactor * pr;
g_sum += sumFactor * pg;
b_sum += sumFactor * pb;
a_sum += sumFactor * pa;
stack = stackStart;
for( i = 0; i
stack.r = pr;
stack.g = pg;
stack.b = pb;
stack.a = pa;
stack = stack.next;
}
yp = width;
for( i = 1; i <= radius; i++ )
{
yi = ( yp + x ) <<2;
r_sum += ( stack.r = ( pr = pixels[yi])) * ( rbs = radiusPlus1 - i );
g_sum += ( stack.g = ( pg = pixels[yi+1])) * rbs;
b_sum += ( stack.b = ( pb = pixels[yi+2])) * rbs;
a_sum += ( stack.a = ( pa = pixels[yi+3])) * rbs;
r_in_sum += pr;
g_in_sum += pg;
b_in_sum += pb;
a_in_sum += pa;
stack = stack.next;
if( i
yp += width;
}
}
yi = x;
stackIn = stackStart;
stackOut = stackEnd;
for ( y = 0; y
p = yi <<2;
pixels[p+3] = pa = (a_sum * mul_sum) >> shg_sum;
if ( pa > 0 )
{
pa = 255 / pa;
pixels[p] = ((r_sum * mul_sum) >> shg_sum ) * pa;
pixels[p+1] = ((g_sum * mul_sum) >> shg_sum ) * pa;
pixels[p+2] = ((b_sum * mul_sum) >> shg_sum ) * pa;
} else {
pixels[p] = pixels[p+1] = pixels[p+2] = 0;
}
r_sum -= r_out_sum;
g_sum -= g_out_sum;
b_sum -= b_out_sum;
a_sum -= a_out_sum;
r_out_sum -= stackIn.r;
g_out_sum -= stackIn.g;
b_out_sum -= stackIn.b;
a_out_sum -= stackIn.a;
p = ( x + (( ( p = y + radiusPlus1)
r_sum += ( r_in_sum += ( stackIn.r = pixels[p]));
g_sum += ( g_in_sum += ( stackIn.g = pixels[p+1]));
b_sum += ( b_in_sum += ( stackIn.b = pixels[p+2]));
a_sum += ( a_in_sum += ( stackIn.a = pixels[p+3]));
stackIn = stackIn.next;
r_out_sum += ( pr = stackOut.r );
g_out_sum += ( pg = stackOut.g );
b_out_sum += ( pb = stackOut.b );
a_out_sum += ( pa = stackOut.a );
r_in_sum -= pr;
g_in_sum -= pg;
b_in_sum -= pb;
a_in_sum -= pa;
stackOut = stackOut.next;
yi += width;
}
}
context.putImageData( imageData, top_x, top_y );
}
function stackBlurCanvasRGB( id, top_x, top_y, width, height, radius )
{
if ( isNaN(radius) || radius <1 ) return;
radius |= 0;
var canvas = document.getElementById( id );
var cOntext= canvas.getContext("2d");
var imageData;
try {
try {
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
try {
netscape.security.PrivilegeManager.enablePrivilege("UniversalBrowserRead");
imageData = context.getImageData( top_x, top_y, width, height );
} catch(e) {
alert("Cannot access local image");
throw new Error("unable to access local image data: " + e);
return;
}
}
} catch(e) {
alert("Cannot access image");
throw new Error("unable to access image data: " + e);
}
var pixels = imageData.data;
var x, y, i, p, yp, yi, yw, r_sum, g_sum, b_sum,
r_out_sum, g_out_sum, b_out_sum,
r_in_sum, g_in_sum, b_in_sum,
pr, pg, pb, rbs;
var div = radius + radius + 1;
var w4 = width <<2;
var widthMinus1 = width - 1;
var heightMinus1 = height - 1;
var radiusPlus1 = radius + 1;
var sumFactor = radiusPlus1 * ( radiusPlus1 + 1 ) / 2;
var stackStart = new BlurStack();
var stack = stackStart;
for ( i = 1; i
yi += 4;
}
yw += width;
}
for ( x = 0; x
g_in_sum = b_in_sum = r_in_sum = g_sum = b_sum = r_sum = 0;
yi = x <<2;
r_out_sum = radiusPlus1 * ( pr = pixels[yi]);
g_out_sum = radiusPlus1 * ( pg = pixels[yi+1]);
b_out_sum = radiusPlus1 * ( pb = pixels[yi+2]);
r_sum += sumFactor * pr;
g_sum += sumFactor * pg;
b_sum += sumFactor * pb;
stack = stackStart;
for( i = 0; i
stack.r = pr;
stack.g = pg;
stack.b = pb;
stack = stack.next;
}
yp = width;
for( i = 1; i <= radius; i++ )
{
yi = ( yp + x ) <<2;
r_sum += ( stack.r = ( pr = pixels[yi])) * ( rbs = radiusPlus1 - i );
g_sum += ( stack.g = ( pg = pixels[yi+1])) * rbs;
b_sum += ( stack.b = ( pb = pixels[yi+2])) * rbs;
r_in_sum += pr;
g_in_sum += pg;
b_in_sum += pb;
stack = stack.next;
if( i
yp += width;
}
}
yi = x;
stackIn = stackStart;
stackOut = stackEnd;
for ( y = 0; y
p = yi <<2;
pixels[p] = (r_sum * mul_sum) >> shg_sum;
pixels[p+1] = (g_sum * mul_sum) >> shg_sum;
pixels[p+2] = (b_sum * mul_sum) >> shg_sum;
r_sum -= r_out_sum;
g_sum -= g_out_sum;
b_sum -= b_out_sum;
r_out_sum -= stackIn.r;
g_out_sum -= stackIn.g;
b_out_sum -= stackIn.b;
p = ( x + (( ( p = y + radiusPlus1)
r_sum += ( r_in_sum += ( stackIn.r = pixels[p]));
g_sum += ( g_in_sum += ( stackIn.g = pixels[p+1]));
b_sum += ( b_in_sum += ( stackIn.b = pixels[p+2]));
stackIn = stackIn.next;
r_out_sum += ( pr = stackOut.r );
g_out_sum += ( pg = stackOut.g );
b_out_sum += ( pb = stackOut.b );
r_in_sum -= pr;
g_in_sum -= pg;
b_in_sum -= pb;
stackOut = stackOut.next;
yi += width;
}
}
context.putImageData( imageData, top_x, top_y );
}
function BlurStack()
{
this.r = 0;
this.g = 0;
this.b = 0;
this.a = 0;
this.next = null;
}
使用方法: