我正在尝试使用WebGL创建图像过滤器。我找到了这个库WebGLImageFilter。我想要的过滤效果是Rise Effect
来自CSSGram。以下是该过滤器的source code。
它基本上是这样的:
brightness(1.05)
sepia(0.2)
contrast(0.9)
saturate(0.9)
在给定顺序中,所以我使用我提到的库复制它。
const image = new Image();
image.crossOrigin = "anonymous";
image.src = "https://i.imgur.com/TSiyiJv.jpg";
image.onload = function() {
try {
var filter = new WebGLImageFilter();
}
catch( err ) {
console.log(err)
}
filter.addFilter('brightness',1.05);
filter.addFilter('sepia',0.2);
filter.addFilter('contrast',0.9);
filter.addFilter('saturation',0.9);
var filteredImage = filter.apply(image);
document.body.appendChild(filteredImage);
}
<script src="https://cdn.rawgit.com/phoboslab/WebGLImageFilter/e0eee0cd/webgl-image-filter.js"></script>
但这会产生与上述效果截然不同的图像效果。所以我尝试单独应用每个效果,每个效果都很完美但是当我将它们组合起来时,我得到的效果与我想要达到的效果不同。可能是什么原因?
答案 0 :(得分:1)
您正在使用的库不会使用与输入相同的值。
例如,对于饱和度,CSS饱和度取0到1的值。换句话说,0 =没有饱和度,1 =完全饱和度,因为您链接的库取值为更改饱和度的正值或负值。换句话说,0 =不改变饱和度。 1 =应用1个饱和度(默认情况下库的数量是多少)和-1删除一个饱和度单位
此外,AFAIK棕褐色过滤器不接受输入。无论你为棕褐色传递什么价值,它都只会使图片与棕褐色相同。
const image = new Image();
image.crossOrigin = "anonymous";
image.src = "https://i.imgur.com/TSiyiJv.jpg";
image.onload = function() {
for (var i = 0; i < 1; i += 0.25) {
var filter = new WebGLImageFilter();
filter.addFilter('sepia', i);
var filteredImage = filter.apply(image);
document.body.appendChild(filteredImage);
}
}
canvas { width: 100px; margin: 5px }
<script src="https://cdn.rawgit.com/phoboslab/WebGLImageFilter/e0eee0cd/webgl-image-filter.js"></script>
在库中查看大多数过滤器都基于5x4颜色矩阵,其中标识(保留颜色的矩阵)是
1 0 0 0 0
0 1 0 0 0
0 0 1 0 0
0 0 0 1 0
对于棕褐色,它只是硬编码为
0.393, 0.7689999, 0.18899999, 0, 0,
0.349, 0.6859999, 0.16799999, 0, 0,
0.272, 0.5339999, 0.13099999, 0, 0,
0,0,0,1,0
使用的着色器看起来像这样
precision highp float;
varying vec2 vUv;
uniform sampler2D texture;
uniform float m[20];
void main(void) {
vec4 c = texture2D(texture, vUv);
gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];
gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];
gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];
gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];
}
如果我理解正确,请阅读跨越棕褐色的行,意味着
new red = 39% red, 77% green, 19% blue
new green = 35% red, 69% green, 17% blue
new blue = 27% red, 53% green, 13% blue
new alpha = alpha
所以实际上能够设置你需要的数量,当amount = 0时它是单位矩阵,当amount = 1时是sepia矩阵。幸运的是,它看起来像是colorMatrix
过滤器你可以传入你自己的矩阵。我们来试试吧
const identity = [
1, 0, 0, 0, 0,
0, 1, 0, 0, 0,
0, 0, 1, 0, 0,
0, 0, 0, 1, 0,
];
const sepia = [
0.393, 0.7689999, 0.18899999, 0, 0,
0.349, 0.6859999, 0.16799999, 0, 0,
0.272, 0.5339999, 0.13099999, 0, 0,
0,0,0,1,0,
];
const image = new Image();
image.crossOrigin = "anonymous";
image.src = "https://i.imgur.com/TSiyiJv.jpg";
image.onload = function() {
for (var i = 0; i <= 1; i += 0.25) {
var filter = new WebGLImageFilter();
filter.addFilter('colorMatrix', mix(identity, sepia, i));
var filteredImage = filter.apply(image);
document.body.appendChild(filteredImage);
}
}
function mix(m1, m2, amount) {
return m1.map((a, ndx) => {
const b = m2[ndx];
return a + (b - a) * amount;
});
}
canvas { width: 100px; margin: 5px }
<script src="https://cdn.rawgit.com/phoboslab/WebGLImageFilter/e0eee0cd/webgl-image-filter.js"></script>
哪个似乎有用?
const identity = [
1, 0, 0, 0, 0,
0, 1, 0, 0, 0,
0, 0, 1, 0, 0,
0, 0, 0, 1, 0,
];
const sepia = [
0.393, 0.7689999, 0.18899999, 0, 0,
0.349, 0.6859999, 0.16799999, 0, 0,
0.272, 0.5339999, 0.13099999, 0, 0,
0,0,0,1,0,
];
const image = new Image();
image.crossOrigin = "anonymous";
image.src = "https://cdn.rawgit.com/una/CSSgram/6f21810a/site/img/atx.jpg";
image.onload = function() {
try {
var filter = new WebGLImageFilter();
}
catch( err ) {
console.log(err)
}
filter.addFilter('brightness',-0.05); // 1.05);
// filter.addFilter('sepia',0.2);
filter.addFilter('colorMatrix', mix(identity, sepia, 0.2));
filter.addFilter('contrast', -0.1); // 0.9);
filter.addFilter('saturation', -0.1); //0.9);
var filteredImage = filter.apply(image);
document.body.appendChild(image);
document.body.appendChild(filteredImage);
}
function mix(m1, m2, amount) {
return m1.map((a, ndx) => {
const b = m2[ndx];
return a + (b - a) * amount;
});
}
img, canvas {
width: 300px;
margin: 5px;
}
<script src="https://cdn.rawgit.com/phoboslab/WebGLImageFilter/e0eee0cd/webgl-image-filter.js"></script>