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colorspace.html
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<!DOCTYPE html>
<html>
<head>
<title>Color Space Converter</title>
<style>
div{
display:inline-block;
}
</style>
</head>
<body>
<h1>Color Space Converter</h1>
<!-- Input to select an image -->
<input type="file" id="imageInput" accept="image/*">
<div>
<label for="colorSpaceSelect">Select Color Space:</label>
<select id="colorSpaceSelect">
<option value="rgb">RGB</option>
<option value="yuv2bgr">YUV2RGB</option>
<option value="yuv">YUV</option>
<option value="hsl">HSL</option>
<option value="hsv">HSV</option>
<option value="bgr">BGR</option>
<option value="lab">LAB</option>
<option value="hue1">HUE1</option>
<option value="hue2">HUE2</option>
<option value="hue3">HUE3</option>
<option value="hue4">HUE4</option>
<option value="hue5">HUE5</option>
<option value="hue6">HUE6</option>
<!-- Add more color spaces as needed -->
</select>
</div>
<br />
<!-- Canvas to display the original image -->
<div>
original
<canvas id="originalCanvas" width="400" height="400"></canvas>
</div>
<!-- Canvas to display the converted image -->
<div>
converted
<canvas id="convertedCanvas" width="400" height="400"></canvas>
</div>
<script>
function convertRGBtoYUV(imageData) {
const data = imageData.data;
const width = imageData.width;
const height = imageData.height;
for (let i = 0; i < data.length; i += 4) {
const r = data[i];
const g = data[i + 1];
const b = data[i + 2];
const y = 0.299 * r + 0.587 * g + 0.114 * b;
const u = -0.14713 * r - 0.288862 * g + 0.436 * b;
const v = 0.615 * r - 0.51498 * g - 0.10001 * b;
data[i] = y;
data[i + 1] = u + 128;
data[i + 2] = v + 128;
}
return imageData;
}
function convertRGBtoXYZ(imageData) {
const data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
const r = data[i] / 255;
const g = data[i + 1] / 255;
const b = data[i + 2] / 255;
const gamma = 2.4;
const rGamma = Math.pow(r, gamma);
const gGamma = Math.pow(g, gamma);
const bGamma = Math.pow(b, gamma);
const x = rGamma * 0.4124564 + gGamma * 0.3575761 + bGamma * 0.1804375;
const y = rGamma * 0.2126729 + gGamma * 0.7151522 + bGamma * 0.0721750;
const z = rGamma * 0.0193339 + gGamma * 0.1191920 + bGamma * 0.9503041;
data[i] = x * 100;
data[i + 1] = y * 100;
data[i + 2] = z * 100;
}
return imageData;
}
function convertRGBtoHSL(imageData) {
const data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
const r = data[i] / 255;
const g = data[i + 1] / 255;
const b = data[i + 2] / 255;
const max = Math.max(r, g, b);
const min = Math.min(r, g, b);
let h, s, l = (max + min) / 2;
if (max === min) {
h = s = 0; // achromatic
} else {
const d = max - min;
s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
switch (max) {
case r: h = (g - b) / d + (g < b ? 6 : 0); break;
case g: h = (b - r) / d + 2; break;
case b: h = (r - g) / d + 4; break;
}
h /= 6;
}
data[i] = h * 360;
data[i + 1] = s * 100;
data[i + 2] = l * 100;
}
return imageData;
}
function convertRGBtoBGR(imageData) {
const data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
const r = data[i];
const g = data[i + 1];
const b = data[i + 2];
data[i] = b;
data[i + 1] = g;
data[i + 2] = r;
}
return imageData;
}
function convertRGBtoHSV(imageData) {
const data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
const r = data[i] / 255;
const g = data[i + 1] / 255;
const b = data[i + 2] / 255;
const max = Math.max(r, g, b);
const min = Math.min(r, g, b);
let h, s, v = max;
const d = max - min;
s = max === 0 ? 0 : d / max;
if (max === min) {
h = 0; // achromatic
} else {
switch (max) {
case r: h = (g - b) / d + (g < b ? 6 : 0); break;
case g: h = (b - r) / d + 2; break;
case b: h = (r - g) / d + 4; break;
}
h /= 6;
}
data[i] = h * 360;
data[i + 1] = s * 100;
data[i + 2] = v * 100;
}
return imageData;
}
function convertRGBtoLAB(imageData) {
const data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
const r = data[i] / 255;
const g = data[i + 1] / 255;
const b = data[i + 2] / 255;
// Apply gamma correction (assumes gamma = 2.2)
const gamma = 2.2;
const rGamma = Math.pow(r, gamma);
const gGamma = Math.pow(g, gamma);
const bGamma = Math.pow(b, gamma);
// Convert RGB to XYZ
const x = rGamma * 0.4124564 + gGamma * 0.3575761 + bGamma * 0.1804375;
const y = rGamma * 0.2126729 + gGamma * 0.7151522 + bGamma * 0.0721750;
const z = rGamma * 0.0193339 + gGamma * 0.1191920 + bGamma * 0.9503041;
// Normalize XYZ to LAB
const epsilon = 0.008856;
const kappa = 903.3;
const xNorm = x / 0.950456;
const yNorm = y / 1.000000;
const zNorm = z / 1.088754;
const fx = xNorm > epsilon ? Math.pow(xNorm, 1 / 3) : (kappa * xNorm + 16) / 116;
const fy = yNorm > epsilon ? Math.pow(yNorm, 1 / 3) : (kappa * yNorm + 16) / 116;
const fz = zNorm > epsilon ? Math.pow(zNorm, 1 / 3) : (kappa * zNorm + 16) / 116;
const L = (116 * fy) - 16;
const A = (fx - fy) * 500;
const B = (fy - fz) * 200;
// Update image data with LAB values
data[i] = L;
data[i + 1] = A;
data[i + 2] = B;
}
return imageData;
}
function adjustHue(imageData, shiftAmount) {
const data = imageData.data;
const shiftRadians = (shiftAmount / 180) * Math.PI; // Convert degrees to radians
for (let i = 0; i < data.length; i += 4) {
const r = data[i];
const g = data[i + 1];
const b = data[i + 2];
// Convert RGB to HSL
const max = Math.max(r, g, b);
const min = Math.min(r, g, b);
let h, s, l = (max + min) / 2;
if (max === min) {
h = s = 0; // achromatic
} else {
const d = max - min;
s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
switch (max) {
case r: h = (g - b) / d + (g < b ? 6 : 0); break;
case g: h = (b - r) / d + 2; break;
case b: h = (r - g) / d + 4; break;
}
h /= 6;
}
// Shift the hue
h = (h + (shiftRadians / (2 * Math.PI))) % 1;
if (h < 0) {
h += 1;
}
// Convert HSL back to RGB
let rNew, gNew, bNew;
if (s === 0) {
rNew = gNew = bNew = l; // Achromatic
} else {
const hue2rgb = (p, q, t) => {
if (t < 0) t += 1;
if (t > 1) t -= 1;
if (t < 1 / 6) return p + (q - p) * 6 * t;
if (t < 1 / 2) return q;
if (t < 2 / 3) return p + (q - p) * (2 / 3 - t) * 6;
return p;
};
const q = l < 0.5 ? l * (1 + s) : l + s - l * s;
const p = 2 * l - q;
rNew = hue2rgb(p, q, h + 1 / 3);
gNew = hue2rgb(p, q, h);
bNew = hue2rgb(p, q, h - 1 / 3);
}
data[i] = rNew;
data[i + 1] = gNew;
data[i + 2] = bNew;
}
return imageData;
}
function convertYUVImageToRGB(yuvImageData) {
const yuvData = yuvImageData.data;
const rgbData = new Uint8ClampedArray(yuvData.length);
for (let i = 0; i < yuvData.length; i += 4) {
const y = yuvData[i];
const u = yuvData[i + 1] - 128;
const v = yuvData[i + 2] - 128;
// Convert YUV to RGB
const r = Math.max(0, Math.min(255, (298 * y + 409 * v + 128) >> 8));
const g = Math.max(0, Math.min(255, (298 * y - 100 * u - 208 * v + 128) >> 8));
const b = Math.max(0, Math.min(255, (298 * y + 516 * u + 128) >> 8));
// Store RGB values in the new array
rgbData[i] = r;
rgbData[i + 1] = g;
rgbData[i + 2] = b;
rgbData[i + 3] = 255; // Alpha channel (fully opaque)
}
// Create a new RGB image data object
const rgbImageData = new ImageData(rgbData, yuvImageData.width, yuvImageData.height);
return rgbImageData;
}
// Function to handle image selection and conversion
function handleImage() {
const imageInput = document.getElementById("imageInput");
const originalCanvas = document.getElementById("originalCanvas");
const convertedCanvas = document.getElementById("convertedCanvas");
const colorSpaceSelect = document.getElementById("colorSpaceSelect");
const ctxOriginal = originalCanvas.getContext("2d");
const ctxConverted = convertedCanvas.getContext("2d");
const image = new Image();
image.src = URL.createObjectURL(imageInput.files[0]);
image.onload = function () {
// Display the original image
ctxOriginal.drawImage(image, 0, 0, originalCanvas.width, originalCanvas.height);
// Convert the image based on the selected color space
const colorSpace = colorSpaceSelect.value;
if (colorSpace === "rgb") {
// No conversion needed for RGB
ctxConverted.drawImage(image, 0, 0, convertedCanvas.width, convertedCanvas.height);
} else if (colorSpace === "yuv") {
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoYUV(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "yuv2bgr") {
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertYUVImageToRGB(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "bgr") {
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoBGR(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "lab") {
// Perform LAB conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoLAB(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "hsl") {
// Perform HSL conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoHSL(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "hsv") {
// Perform HSV conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoHSV(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "xyz") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const convertedImageData = convertRGBtoXYZ(imageData);
ctxConverted.putImageData(convertedImageData, 0, 0);
} else if (colorSpace === "hue1") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, 45);
ctxConverted.putImageData(adjustedImageData, 0, 0);
} else if (colorSpace === "hue2") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, 30);
ctxConverted.putImageData(adjustedImageData, 0, 0);
} else if (colorSpace === "hue3") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, -30);
ctxConverted.putImageData(adjustedImageData, 0, 0);
} else if (colorSpace === "hue4") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, -45);
ctxConverted.putImageData(adjustedImageData, 0, 0);
} else if (colorSpace === "hue5") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, 90);
ctxConverted.putImageData(adjustedImageData, 0, 0);
} else if (colorSpace === "hue6") {
// Perform XYZ conversion
const imageData = ctxOriginal.getImageData(0, 0, originalCanvas.width, originalCanvas.height);
const adjustedImageData = adjustHue(imageData, 180);
ctxConverted.putImageData(adjustedImageData, 0, 0);
}
};
}
// Attach the handleImage function to the input change event
const imageInput = document.getElementById("imageInput");
imageInput.addEventListener("change", handleImage);
const colorSpaceSelect = document.getElementById("colorSpaceSelect");
colorSpaceSelect.addEventListener("change", handleImage);
</script>
</body>
</html>