Discover the perfect gray hue using RGB color codes

I'm in the process of developing a filter for canvas that will generate a monochrome version of an image. The approach involves drawing the image, then going through its pixel data to convert the RGB values to shades of gray before placing it back on the canvas. I could use some guidance on how to achieve the conversion from RGB to grayscale. A JavaScript solution would be ideal.

Here's my current code:

function toGray(vals) {
  var r = vals[0]
  var g = vals[1]
  var b = vals[2]
  // Implement logic to return gray shade
}
function filter() {
  var c = document.getElementById("canvas1");
  var ctx = c.getContext("2d");
  var img = document.createElement('img')
  img.src = 'shaq.png'
  img.onload = function() {
    ctx.drawImage(img, 0, 0, c.width, c.height);
    var imgData = ctx.getImageData(0, 0, c.width, c.height);
    var i;
    for (i = 0; i < imgData.data.length; i += 4) {
      var rgblist = [imgData.data[i], imgData.data[i+1], imgData.data[i+2]]
      var filtered = toGray(rgblist)
      imgData.data[i] = filtered[0]
      imgData.data[i+1] = filtered[1]
      imgData.data[i+2] = filtered[2]
    }
    ctx.putImageData(imgData, 0, 0);
  }
}
canvas {
  position: absolute;
  bottom: 10px;
  left: 0;
  width: 100vw;
  height: 100vh;
}
<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width">
    <title>filter</title>
    <link href="style.css" rel="stylesheet" type="text/css" />
  </head>
  <body>
    <canvas id="canvas1"></canvas>
    <script src="codes.js"></script>
    <script src="filter.js"></script>
    <script src="script.js"></script>
  </body>
</html>

Answer №1

Three different algorithms exist for converting color to grayscale.

These include the lightness, average, and luminosity methods.

  1. The lightness method calculates the average of the most dominant and least dominant colors:

    (max(R, G, B) + min(R, G, B)) / 2

  2. In contrast, the average method simply computes the average value: (R + G + B) / 3

  3. The luminosity method is a more advanced version of the average method. It also determines averages but assigns weights to cater to human perception. Since we are more sensitive to green, it is given the highest weight. The formula for luminosity is 0.21 R + 0.72 G + 0.07 B

Based on the provided calculation formulas, the function will be as follows:

function toGray(vals) {
  var r = vals[0];
  var g = vals[1];
  var b = vals[2];
  return Math.round((Math.min(r, g, b) + Math.max(r, g, b)) / 2);
  // return Math.round((r + g + b) / 3);
  // return Math.round(0.21 * r + 0.72 * g + 0.07 * b);
}

Your filter function should appear like this:

function filter() {
  .....
      var filtered = toGray(rgblist)
      imgData.data[i] = filtered
      imgData.data[i+1] = filtered
      imgData.data[i+2] = filtered
    
  ....
}

Answer №2

To achieve a grayscale effect, simply calculate the average of the RGB values and assign this average to all three channels (red, green, blue).

Here's an example of how your new convertToGrayscale function could look:

function convertToGrayscale(rgbValues) {
  var r = rgbValues[0];
  var g = rgbValues[1];
  var b = rgbValues[2];
  return (r + g + b) / 3;
}

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