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Image Color Temperature Orange Filter Effect Tool

(Free & Supports Bulk Upload)

Drag & drop your images here or

The result will appear here...
You can edit the below JavaScript code to customize the image tool.
function processImage(originalImg, orangeLevel = 50) {
    // The 'orangeLevel' parameter controls the intensity of the CTO filter.
    // It can be a number or a string representing a number, expected range 0-100.
    // Default is 50 for a moderate effect.

    let numericOrangeLevel = parseFloat(orangeLevel);

    // If orangeLevel was a non-numeric string (e.g., "abc") or parsing failed,
    // parseFloat returns NaN. In this case, fall back to the default value of 50.
    // This also handles cases where orangeLevel might be null or an incompatible type.
    // If orangeLevel was not provided, it defaults to 50 (number type)
    // from the function signature, and parseFloat(50) is 50.
    if (isNaN(numericOrangeLevel)) {
        numericOrangeLevel = 50; 
    }

    // Clamp the numericOrangeLevel to the effective range [0, 100]
    // This ensures predictable behavior even if input is outside this range.
    numericOrangeLevel = Math.max(0, Math.min(100, numericOrangeLevel));

    const canvas = document.createElement('canvas');
    // Use naturalWidth/Height for intrinsic dimensions; fallback to width/height
    // which are properties standard HTMLImageElement.
    canvas.width = originalImg.naturalWidth || originalImg.width;
    canvas.height = originalImg.naturalHeight || originalImg.height;

    // If image dimensions are invalid (e.g., image not loaded properly or is 0x0),
    // return an empty canvas to prevent errors during processing.
    if (canvas.width === 0 || canvas.height === 0) {
        console.warn("Image has zero width or height. Returning an empty canvas.");
        return canvas;
    }
    
    // Get the 2D rendering context.
    // { willReadFrequently: true } is a performance hint that can optimize
    // repeated calls to getImageData/putImageData.
    const ctx = canvas.getContext('2d', { willReadFrequently: true });
    
    if (!ctx) {
        // This is highly unlikely for a '2d' context in modern browsers.
        console.error("Failed to get 2D rendering context. Returning an empty canvas.");
        return canvas; // Return empty canvas if context cannot be obtained.
    }

    // Draw the original image onto the canvas.
    ctx.drawImage(originalImg, 0, 0, canvas.width, canvas.height);

    // Get the pixel data from the canvas.
    let imageData;
    try {
        imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
    } catch (e) {
        // This can happen due to security restrictions (e.g., tainted canvas from cross-origin image
        // loaded without CORS attributes/headers) or if the canvas dimensions are excessively large.
        console.error("Failed to get image data, possibly due to canvas security restrictions (tainted canvas) or invalid state: ", e);
        // Return the canvas with the original image drawn, as filtering isn't possible.
        return canvas;
    }
    
    const data = imageData.data; // This is a Uint8ClampedArray.

    // Define the maximum adjustment values for R, G, B channels when orangeLevel is 100.
    // These values are chosen to produce a noticeable CTO (Color Temperature Orange) effect,
    // which warms the image by making it more orange.
    const maxRedIncrease = 75;    // Increase Red to make the image warmer/more orange.
    const maxGreenIncrease = 45;  // Increase Green moderately (Orange is a mix of Red and Green, with more Red).
    const maxBlueDecrease = 60;   // Decrease Blue significantly to enhance the warmth (less blue = warmer color temp).

    // Calculate the actual adjustment to apply based on numericOrangeLevel (which is 0-100).
    const rAdd = (numericOrangeLevel / 100) * maxRedIncrease;
    const gAdd = (numericOrangeLevel / 100) * maxGreenIncrease;
    const bSubtract = (numericOrangeLevel / 100) * maxBlueDecrease;

    // Iterate over each pixel in the image data.
    // Each pixel is represented by 4 consecutive values in the array: R, G, B, A.
    for (let i = 0; i < data.length; i += 4) {
        // Apply adjustments to the R, G, B channels.
        data[i]   += rAdd;      // Red channel
        data[i+1] += gAdd;      // Green channel
        data[i+2] -= bSubtract; // Blue channel
        // The Alpha channel (data[i+3]) is left unchanged to preserve transparency.

        // Note: Uint8ClampedArray automatically clamps the resulting values to the 0-255 range
        // and rounds fractional results (typically using "round half to even" method).
        // So, explicit Math.min(255, Math.max(0, ...)) is not strictly necessary here.
    }

    // Put the modified pixel data back onto the canvas.
    ctx.putImageData(imageData, 0, 0);

    // Return the canvas element with the_numericOrangeLevel applied CTO filter effect.
    return canvas;
}

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Description

The Image Color Temperature Orange Filter Effect Tool allows users to apply an orange color temperature filter effect to images. By adjusting the intensity of the effect, users can make their images appear warmer and more inviting, with enhanced red and reduced blue tones. This tool is useful for photographers and designers looking to create a specific mood or ambiance in their images. It can be applied to personal photos, social media posts, or any other visual content where a warmer color palette is desired.

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