Adjust Image Hue
Free online tool to adjust image hue with real-time preview. Shift colors in your images with our easy-to-use hue adjustment tool.
How to Adjust Image Hue Online
Our free online image hue adjustment tool allows you to easily shift the colors in any image with real-time preview. Whether you want to change the color tone, create artistic effects, or correct color casts, this tool provides instant results without requiring any software installation.
What is Image Hue?
Image hue refers to the color property that distinguishes one color from another on the color wheel. It's one of the three main properties of color, along with saturation and lightness. Hue adjustment shifts all colors in an image by the same amount around the color wheel, effectively changing the overall color tone while preserving the relative relationships between different colors.
How Our Hue Adjustment Tool Works
Our tool uses HTML5 Canvas technology to process your images in real-time. Here's how it works:
- Upload Your Image: Simply drag and drop or select an image file (JPG, PNG, GIF, WebP) up to 10MB in size
- Adjust Hue: Use the slider to shift hue from -180° to +180° (0° is the original color)
- Real-time Preview: See changes instantly as you move the slider
- Download Result: Save your hue-adjusted image in PNG format
Understanding Hue Values
The hue slider ranges from -180° to +180°:
- -180° to -1°: Shifts colors counter-clockwise around the color wheel
- 0°: Original colors (no change)
- 1° to +180°: Shifts colors clockwise around the color wheel
When to Use Hue Adjustment
Hue adjustment is useful in many scenarios:
- Color Correction: Fix color casts in photos (e.g., removing blue tint from indoor lighting)
- Creative Effects: Create artistic color variations and mood changes
- Brand Consistency: Match colors across different images for branding
- Seasonal Adjustments: Change warm tones to cool tones or vice versa
- Color Harmony: Create complementary or analogous color schemes
- Photo Enhancement: Improve the overall color balance of images
Technical Details
Our tool processes images by:
- Loading the image into an HTML5 Canvas element
- Converting each pixel from RGB to HSL color space
- Adding the hue shift value to the hue component
- Converting back from HSL to RGB color space
- Rendering the modified image data back to the canvas
The hue adjustment formula is: new_hue = (original_hue + hue_shift) % 360
Supported Image Formats
Our tool supports the following image formats:
- JPEG (JPG): Most common format for photographs
- PNG: Supports transparency and lossless compression
- GIF: Animated and static images
- WebP: Modern format with excellent compression
- BMP: Uncompressed bitmap format
Tips for Best Results
- Start Small: Begin with small hue adjustments (10-30°) and increase gradually
- Consider the Subject: Different subjects respond differently to hue changes
- Check Skin Tones: Be careful with portraits as extreme hue shifts can make skin look unnatural
- Use Reset: The reset button quickly returns to the original image
- Save Originals: Always keep a copy of your original image before making adjustments
Frequently Asked Questions
What is the difference between hue and saturation?
Hue refers to the color itself (red, blue, green, etc.), while saturation refers to the intensity or purity of that color. Hue adjustment changes the color tone, while saturation adjustment makes colors more vivid or muted.
Can I adjust hue on black and white images?
Hue adjustment has no effect on grayscale (black and white) images since they contain no color information. The tool will work, but you won't see any changes.
Will hue adjustment affect image quality?
Our tool processes images using high-precision calculations, so there should be minimal quality loss. However, some quality loss may occur due to the conversion between color spaces, especially with extreme adjustments.
Can I undo hue adjustments?
Yes! Use the reset button to return to the original image, or simply set the hue slider back to 0°. The original image is always preserved in memory.
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