HTML5 Canvas Image Contrast

HTML5 Canvas image contrast

A faster option (based on Escher's approach) is:

function contrastImage(imgData, contrast){  //input range [-100..100]
var d = imgData.data;
contrast = (contrast/100) + 1; //convert to decimal & shift range: [0..2]
var intercept = 128 * (1 - contrast);
for(var i=0;i<d.length;i+=4){ //r,g,b,a
d[i] = d[i]*contrast + intercept;
d[i+1] = d[i+1]*contrast + intercept;
d[i+2] = d[i+2]*contrast + intercept;
}
return imgData;
}

Derivation similar to the below; this version is mathematically the same, but runs much faster.


Original answer

Here is a simplified version with explanation of an approach already discussed (which was based on this article):

function contrastImage(imageData, contrast) {  // contrast as an integer percent  
var data = imageData.data; // original array modified, but canvas not updated
contrast *= 2.55; // or *= 255 / 100; scale integer percent to full range
var factor = (255 + contrast) / (255.01 - contrast); //add .1 to avoid /0 error

for(var i=0;i<data.length;i+=4) //pixel values in 4-byte blocks (r,g,b,a)
{
data[i] = factor * (data[i] - 128) + 128; //r value
data[i+1] = factor * (data[i+1] - 128) + 128; //g value
data[i+2] = factor * (data[i+2] - 128) + 128; //b value

}
return imageData; //optional (e.g. for filter function chaining)
}

Notes

  1. I have chosen to use a contrast range of +/- 100 instead of the original +/- 255. A percentage value seems more intuitive for users, or programmers who don't understand the underlying concepts. Also, my usage is always tied to UI controls; a range from -100% to +100% allows me to label and bind the control value directly instead of adjusting or explaining it.

  2. This algorithm doesn't include range checking, even though the calculated values can far exceed the allowable range - this is because the array underlying the ImageData object is a Uint8ClampedArray. As MSDN explains, with a Uint8ClampedArray the range checking is handled for you:

"if you specified a value that is out of the range of [0,255], 0 or 255 will be set instead."

Usage

Note that while the underlying formula is fairly symmetric (allows round-tripping), data is lost at high levels of filtering because pixels only allow integer values. For example, by the time you de-saturate an image to extreme levels (>95% or so), all the pixels are basically a uniform medium gray (within a few digits of the average possible value of 128). Turning the contrast back up again results in a flattened color range.

Also, order of operations is important when applying multiple contrast adjustments - saturated values "blow out" (exceed the clamped max value of 255) quickly, meaning highly saturating and then de-saturating will result in a darker image overall. De-saturating and then saturating however doesn't have as much data loss, because the highlight and shadow values get muted, instead of clipped (see explanation below).

Generally speaking, when applying multiple filters it's better to start each operation with the original data and re-apply each adjustment in turn, rather than trying to reverse a previous change - at least for image quality. Performance speed or other demands may dictate differently for each situation.

Mandrill contrast examples

Code Example:

function contrastImage(imageData, contrast) {  // contrast input as percent; range [-1..1]    var data = imageData.data;  // Note: original dataset modified directly!    contrast *= 255;    var factor = (contrast + 255) / (255.01 - contrast);  //add .1 to avoid /0 error.
for(var i=0;i<data.length;i+=4) { data[i] = factor * (data[i] - 128) + 128; data[i+1] = factor * (data[i+1] - 128) + 128; data[i+2] = factor * (data[i+2] - 128) + 128; } return imageData; //optional (e.g. for filter function chaining)}
$(document).ready(function(){ var ctxOrigMinus100 = document.getElementById('canvOrigMinus100').getContext("2d"); var ctxOrigMinus50 = document.getElementById('canvOrigMinus50').getContext("2d"); var ctxOrig = document.getElementById('canvOrig').getContext("2d"); var ctxOrigPlus50 = document.getElementById('canvOrigPlus50').getContext("2d"); var ctxOrigPlus100 = document.getElementById('canvOrigPlus100').getContext("2d"); var ctxRoundMinus90 = document.getElementById('canvRoundMinus90').getContext("2d"); var ctxRoundMinus50 = document.getElementById('canvRoundMinus50').getContext("2d"); var ctxRound0 = document.getElementById('canvRound0').getContext("2d"); var ctxRoundPlus50 = document.getElementById('canvRoundPlus50').getContext("2d"); var ctxRoundPlus90 = document.getElementById('canvRoundPlus90').getContext("2d"); var img = new Image(); img.onload = function() { //draw orig ctxOrig.drawImage(img, 0, 0, img.width, img.height, 0, 0, 100, 100); //100 = canvas width, height //reduce contrast var origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, -.98); ctxOrigMinus100.putImageData(origBits, 0, 0); var origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, -.5); ctxOrigMinus50.putImageData(origBits, 0, 0); // add contrast var origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, .5); ctxOrigPlus50.putImageData(origBits, 0, 0); var origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, .98); ctxOrigPlus100.putImageData(origBits, 0, 0); //round-trip, de-saturate first origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, -.98); contrastImage(origBits, .98); ctxRoundMinus90.putImageData(origBits, 0, 0); origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, -.5); contrastImage(origBits, .5); ctxRoundMinus50.putImageData(origBits, 0, 0); //do nothing 100 times origBits = ctxOrig.getImageData(0, 0, 100, 100); for(i=0;i<100;i++){ contrastImage(origBits, 0); } ctxRound0.putImageData(origBits, 0, 0); //round-trip, saturate first origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, .5); contrastImage(origBits, -.5); ctxRoundPlus50.putImageData(origBits, 0, 0); origBits = ctxOrig.getImageData(0, 0, 100, 100); contrastImage(origBits, .98); contrastImage(origBits, -.98); ctxRoundPlus90.putImageData(origBits, 0, 0); }; img.src = 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"; });
canvas {width: 100px; height: 100px}div {text-align:center; width:120px; float:left}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<div> <canvas id="canvOrigMinus100" width="100" height="100"></canvas> -98%</div>
<div> <canvas id="canvOrigMinus50" width="100" height="100"></canvas> -50%</div>
<div> <canvas id="canvOrig" width="100" height="100"></canvas> Original</div>
<div> <canvas id="canvOrigPlus50" width="100" height="100"></canvas> +50%</div>
<div> <canvas id="canvOrigPlus100" width="100" height="100"></canvas> +98%</div>
<hr/>
<div style="clear:left"> <canvas id="canvRoundMinus90" width="100" height="100"></canvas> Round-trip <br/> (-98%, +98%)</div>
<div> <canvas id="canvRoundMinus50" width="100" height="100"></canvas> Round-trip <br/> (-50%, +50%)</div>
<div> <canvas id="canvRound0" width="100" height="100"></canvas> Round-trip <br/> (0% 100x)</div>
<div> <canvas id="canvRoundPlus50" width="100" height="100"></canvas> Round-trip <br/> (+50%, -50%)</div>
<div> <canvas id="canvRoundPlus90" width="100" height="100"></canvas> Round-trip <br/> (+98%, -98%)</div>

HTML5 Canvas contrast filter

Since you said you already adjusted the brightness and it sounds like all you need is the algorithm for contrast adjusting here's a thread for a C# method (Look at Update 2), the logic of the code is sound and will work in any program:

Adjust the contrast of an image in C# efficiently - Stack Overflow

Brightness and Contrast for a canvas image with javascript

There's at least one javascript library I know of which can do this, Pixastic

Usage might look like this.

Pixastic.process(canvas, 'brightness',
{
'brightness': 60,
'contrast': 0.5,
'leaveDOM': true
},
function(img) {
ctx.drawImage(img, 0, 0);
}
);

The library is kind of intended to work with images within your page and it replaces them with canvas elements which contain the rendered result.

But in the code above I've passed in a canvas element rather than an image and included the 'leaveDOM' property to prevent the pixastic library from swapping your canvas in the DOM for the one it creates.

To display the results I've included the callback function which just does ctx.drawImage to put the contents into your original canvas.

Hope that makes sense.

You can check the documentation for more examples. Pixastic Documentation

html5 - how to do the brightness, contrast, saturation, hue up and down?

OK - this almost works for brightness up+ and down-

<script src="https://code.jquery.com/jquery-1.9.1.min.js"></script>
<script>
function greyImages() {
var img = document.getElementById("cvs-src");
var imageData;
var px;
var length;
var i = 0;
var grey;
var can = document.getElementsByTagName("canvas")[0].getContext('2d');
can.drawImage(img, 0, 0);
imageData = can.getImageData(0, 0, 1024, 768);
px = imageData.data;
length = px.length;

// Grey
// for ( ; i < length; i+= 4 ) {
// grey = px[i] * .3 + px[i+1] * .59 + px[i+2] * .11;
// px[i] = grey;
// grey = px[i] * .1 + px[i+1] * .1 + px[i+2] * .1;
// px[i] = px[i+1] = px[i+2] = grey;
// }

// Bright up / down
for ( ; i < length; i+= 4 ) {
px[i] -= 40 ;
px[i+1] -= 40 ;
px[i+2] -= 40 ;
}

// Threshold
// for ( ; i < length; i+= 4) {
// var r = px[i];
// var g = px[i+1];
// var b = px[i+2];
// grey= (0.2126*r + 0.7152*g + 0.0722*b >= 150) ? 255 : 0;
// px[i] = px[i+1] = px[i+2] = grey;
// }

can.putImageData(imageData, 0, 0);
}

$(document).ready(function() {

});
</script>

<h1>Effects</h1>
<table>
<tr>
<td style="vertical-align:text-top;">
<h2>Original</h2>
<button id="take" onclick="greyImages();" />
<video id="cvs-src" autoplay="autoplay" src="/images/1.webm"
type="video/webm" width=640 height=480></video>
</td>

<td>
<canvas width=1024 height=768></canvas>
</td>
</tr>
</table>

how to change the color of an image in a HTML5 Canvas without changing its pattern

Luma preservation

At the risk of looking similar to the existing answer, I would like to point out a small but important difference using a slightly different approach.

The key is to preserve the luma component in an image (ie. shadow details, wrinkles etc. in this case) so two steps are needed to control the look using blending modes via globalCompositeOperation (or alternatively, a manual approach using conversion between RGB and the HSL color-space if older browsers must be supported):

  • "saturation": will alter the chroma (intensity, saturation) from the next drawn element and apply it to the existing content on the canvas, but preserve luma and hue.
  • "hue": will grab the chroma and luma from the source but alter the hue, or color if you will, based on the next drawn element.

As these are blending modes (ignoring the alpha channel) we will also need to clip the result using composition as a last step.

The color blending mode can be used too but it will alter luma which may or may not be desirable. The difference can be subtle in many cases, but also very obvious depending on target chroma and hue where luma/shadow definition is lost.

So, to achieve a good quality result preserving both luma and chroma, these are more or less the main steps (assumes an empty canvas):

// step 1: draw in original image
ctx.globalCompositeOperation = "source-over";
ctx.drawImage(img, 0, 0);

// step 2: adjust saturation (chroma, intensity)
ctx.globalCompositeOperation = "saturation";
ctx.fillStyle = "hsl(0," + sat + "%, 50%)"; // hue doesn't matter here
ctx.fillRect(0, 0);

// step 3: adjust hue, preserve luma and chroma
ctx.globalCompositeOperation = "hue";
ctx.fillStyle = "hsl(" + hue + ",1%, 50%)"; // sat must be > 0, otherwise won't matter
ctx.fillRect(0, 0, c.width, c.height);

// step 4: in our case, we need to clip as we filled the entire area
ctx.globalCompositeOperation = "destination-in";
ctx.drawImage(img, 0, 0);

// step 5: reset comp mode to default
ctx.globalCompositeOperation = "source-over";

50% lightness (L) will keep the original luma value.

Live Example

Click the checkbox to see the effect on the result. Then test with different chroma and hue settings.

var ctx = c.getContext("2d");
var img = new Image(); img.onload = demo; img.src = "//i.stack.imgur.com/Kk1qd.png";
function demo() {c.width = this.width>>1; c.height = this.height>>1; render()}

function render() {
var hue = +rHue.value, sat = +rSat.value, l = +rL.value;

ctx.clearRect(0, 0, c.width, c.height);
ctx.globalCompositeOperation = "source-over";
ctx.drawImage(img, 0, 0, c.width, c.height);

if (!!cColor.checked) {
// use color blending mode
ctx.globalCompositeOperation = "color";
ctx.fillStyle = "hsl(" + hue + "," + sat + "%, 50%)";
ctx.fillRect(0, 0, c.width, c.height);
}
else {
// adjust "lightness"
ctx.globalCompositeOperation = l < 100 ? "color-burn" : "color-dodge";
// for common slider, to produce a valid value for both directions
l = l >= 100 ? l - 100 : 100 - (100 - l);
ctx.fillStyle = "hsl(0, 50%, " + l + "%)";
ctx.fillRect(0, 0, c.width, c.height);

// adjust saturation
ctx.globalCompositeOperation = "saturation";
ctx.fillStyle = "hsl(0," + sat + "%, 50%)";
ctx.fillRect(0, 0, c.width, c.height);

// adjust hue
ctx.globalCompositeOperation = "hue";
ctx.fillStyle = "hsl(" + hue + ",1%, 50%)";
ctx.fillRect(0, 0, c.width, c.height);
}

// clip
ctx.globalCompositeOperation = "destination-in";
ctx.drawImage(img, 0, 0, c.width, c.height);

// reset comp. mode to default
ctx.globalCompositeOperation = "source-over";
}

rHue.oninput = rSat.oninput = rL.oninput = cColor.onchange = render;
body {font:16px sans-serif}
<div>
<label>Hue: <input type=range id=rHue max=359 value=0></label>
<label>Saturation: <input type=range id=rSat value=100></label>
<label>Lightness: <input type=range id=rL max=200 value=100></label>
<label>Use "color" instead: <input type=checkbox id=cColor></label>
</div>
<canvas id=c></canvas>


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