"use strict";
Object.defineProperty(exports, Symbol.toStringTag, { value: "Module" });
const THREE = require("three");
const ConvolutionShader = {
  defines: {
    KERNEL_SIZE_FLOAT: "25.0",
    KERNEL_SIZE_INT: "25"
  },
  uniforms: {
    tDiffuse: { value: null },
    uImageIncrement: { value: /* @__PURE__ */ new THREE.Vector2(1953125e-9, 0) },
    cKernel: { value: [] }
  },
  vertexShader: (
    /* glsl */
    `
    uniform vec2 uImageIncrement;

    varying vec2 vUv;

    void main() {

    	vUv = uv - ( ( KERNEL_SIZE_FLOAT - 1.0 ) / 2.0 ) * uImageIncrement;
    	gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );

    }
  `
  ),
  fragmentShader: (
    /* glsl */
    `
    uniform float cKernel[ KERNEL_SIZE_INT ];

    uniform sampler2D tDiffuse;
    uniform vec2 uImageIncrement;

    varying vec2 vUv;

    void main() {

    	vec2 imageCoord = vUv;
    	vec4 sum = vec4( 0.0, 0.0, 0.0, 0.0 );

    	for( int i = 0; i < KERNEL_SIZE_INT; i ++ ) {

    		sum += texture2D( tDiffuse, imageCoord ) * cKernel[ i ];
    		imageCoord += uImageIncrement;

    	}

    	gl_FragColor = sum;

    }
  `
  ),
  buildKernel: function(sigma) {
    function gauss(x, sigma2) {
      return Math.exp(-(x * x) / (2 * sigma2 * sigma2));
    }
    const kMaxKernelSize = 25;
    const kernelSize = Math.min(2 * Math.ceil(sigma * 3) + 1, kMaxKernelSize);
    const halfWidth = (kernelSize - 1) * 0.5;
    const values = new Array(kernelSize);
    let sum = 0;
    for (let i = 0; i < kernelSize; ++i) {
      values[i] = gauss(i - halfWidth, sigma);
      sum += values[i];
    }
    for (let i = 0; i < kernelSize; ++i)
      values[i] /= sum;
    return values;
  }
};
exports.ConvolutionShader = ConvolutionShader;
//# sourceMappingURL=ConvolutionShader.cjs.map