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Awesome Open Source

Image processing for Processing

This library collects various image processing algorithms and provides simple access to them. All algorithms are implemented in Java and runs without any other dependencies. Some algorithms are pretty standard and others maybe do you know from Photoshop. It starts with less basic features and grow over the last years. If you need high power performance better use opencv for processing.

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If you want to use this library in your processing sketch you can download it via the integrated Contribution Manager.

alt install



The following algorithms are supported in this library. Click on the link to see an example image and a code snippet.

Original image

alt original

Photo taken by me more here


Grayscale image

alt grayscale

PImage processedImage = Grayscale.apply(image);

Flip image

alt flip

PImage processedImage = Flip.apply(image, horizontal, vertical);  // horizontal and vertical are boolean

Invert colors

alt invert colors

// invertRed, invertGreen and invertBlue are boolean
PImage processedImage = InvertColors.apply(image, invertRed, invertGreen, invertBlue);  

Threshold image

alt threshold

PImage processedImage = Threshold.apply(image);  // Auto threshold
PImage processedImage = Threshold.apply(image, value);  // Threshold value between 0 and 255

Dilation image

alt dilation

PImage processedImage = Dilation.apply(image, radius);  // radius is a positive number

Erosion image

alt erosion

PImage processedImage = Erosion.apply(image, radius);  // radius is a positive number

Vignette image

alt vignette

// intensity and vignetteWidth are floats between 0.0 and 1.0
PImage processedImage = Vignette.apply(image, intensity, vignetteWidth); 


alt quantization

PImage processedImage = Quantization.apply(image, shades);  // shades is a positive number between 1 and 255


alt quantization

PImage processedImage = PaletteMapping.apply(image, color1, color2, color3);  // Add any number of colors from dark to light


alt difference

// difference is a float between 0.0 and 1.0 from less to very different
float difference = Comparison.howDifferent(image1, image2);
// differenceImage is the difference between the pixel values (black is no difference, white is high difference)
PImage differenceImage = Comparison.calculateDifferenceImage(image1, image2);


Gaussian blur image

alt gaussian

PImage processedImage = Gaussian.apply(image, 7, 0.84089642);   // kernel size and sigma 

Pixelize image

alt pixelation

// pixelsize is a positive number
PImage processedImage = Pixelation.apply(image, pixelsize); 
// Pixelize a sub area of the input image
PImage processedImage = Pixelation.apply(image, pixelsize, subX, subY, subWidth, subHeight);  


alt tilt-shift

PImage processedImage = TiltShift.apply(image, blurIntensity, horizontal, position, sharpWideness);   

Edge detection

Canny's algorithm

alt canny-edge

PImage processedImage = CannyEdgeDetector.apply(image);

Sobels algorithm

alt sobel-edge

PImage processedImage = SobelEdgeDetector.apply(image);
// for colored sobel (for each color channel)
PImage processedImage = SobelEdgeDetector.apply(image, false);



alt autobalance

PImage processedImage = Brightness.apply(image, value); 
// value isa positive number for brighting up or a negative for darken down


alt contrast

// intensity is between -1.0 and 1.0
PImage processedImage = Contrast.apply(image, intensity); 


alt saturation

// intensity is between 0.0 and 10.0
// 0.0 to 1.0 decreases and all above increases the saturation
PImage processedImage = Saturation.apply(image, intensity); 

Changing highlights

alt changing highlights

// intensity between -1.0 and 1.0
PImage processedImage = Lights.apply(image, intensity); 

Changing shadows

alt changing shadows

// intensity between -1.0 and 1.0
PImage processedImage = Shadows.apply(image, intensity); 

AutoBalance image

alt autobalance

PImage processedImage = AutoBalance.apply(image);

Bloom image

alt bloom

PImage processedImage = Bloom.apply(image, intensity);  // intensity between 0 and 255

Sharpen image

alt sharpen

PImage processedImage = Sharpen.apply(image, sharpIntensity);  // sharpIntensity between 0.0 and 10.0

Color shift image

alt color shift

// hue is a value between 0 and 360
// offset is the color range which is accepted (in hue range)
// shift is the number of the subtracted or added hue value
PImage processedImage = ColorShift.applyHue(image, hue, offset, shift);  // or short: ColorShift.apply(image, hue, offset, shift)
PImage processedImage = ColorShift.applySaturation(image, hue, offset, shift);
PImage processedImage = ColorShift.applyBrightness(image, hue, offset, shift);


Lookup table image

alt lookup-table

PImage processedImage = LUT.apply(image, style); 

RetroConsole effect (Gameboy)

alt lookup-table

PImage processedImage = RetroConsole.applyGameboy(image, pixelSize); 

Glitch image

alt glitch-effect

PImage processedImage = Glitch.apply(image, intensity, scanlineheight);

Matte effect

alt matte-effect

PImage processedImage = Matte.apply(image, 
    matteIntensity,         // intensity for the lifting blacks between 0 and 255
    contrastIntensity,      // intensity for the constrast between 0 and 255
    saturationIntensity);   // change for the saturation between -0.5 and 0.5

Sabattier effect

alt sabattier-effect

// intensity between 0.0 and 1.0
PImage processedImage = Sabattier.apply(image, intensity);
PImage processedImage = Sabattier.applyRed(image, intensity);
PImage processedImage = Sabattier.applyGreen(image, intensity);
PImage processedImage = Sabattier.applyBlue(image, intensity);

Strokes image

random angles fixed angle
alt strokes alt strokes
PImage processedImage = Strokes.apply(image, gridSize, lineLength);
PImage processedImage = Strokes.apply(image, 
    gridSize,           // is positive and the area for compound pixels 
    lineLength,         // is positive and the length in pixels for each line
    lineWeight,         // is positive and the weight of each line in pixel
    linesPerGrid,       // the number of lines per grid
    lineIntensity,      // alpha value for each line between 0 and 255
    degree,             // if set the rotation is fixed in degree, otherwise random
    inColor,            // true for colors else black and white
    backgroundColor);   // color for the background


alt dithering

// default dithering algorithm is BAYER_4x4
PImage processedImage = Dithering.apply(image);
// change algrithm: BAYER_2x2, BAYER_4x4, BAYER_8x8
PImage processedImage = Dithering.apply(image, Dithering.Algorithm.BAYER_8x8);
// use a curstom kernel (kernel = float[])
PImage processedImage = Dithering.aapply(PImage image, kernel);  

Halftone image

alt halftone

PImage processedImage = Halftone.apply(image, dotsize);  // dot size in pixel
PImage processedImage = Halftone.apply(image, dotsize, grid); // grid = true, on false honeycomb style
PImage processedImage = Halftone.apply(image, dotsize, foreground, background);  // background and foreground colors
PImage processedImage = Halftone.apply(image, dotsize, foreground, background, grid);
PImage processedImage = Halftone.apply(image, dotsize, foreground, background, spacing, grid); // size between dots in pixels

Toning image

alt toning

// tone is a color and intensity is a value between 0.0 and 1.0
color tone = color(255, 11, 120);
float intensity = 0.8f;
PImage processedImage = Toning.apply(image, tone, intensity);

Split toning image

alt split-toning

PImage processedImage = SplitToning.apply(
      highlightTone,        // Color for highlighs (f.e. color highlightTone = color(211, 180, 21);
      intensityHighlights,  // intensity for the toning in highlights between 0.0 and 1.0
      shadowTone,           // Color for the shadows (f.e. color shadowTone = color(124, 32, 201);
      intensityShadows);    // intensity for the toning in the shadows between 0.0 and 1.0

Sine-Wave image

alt sine-wave

PImage processedImage = SineWave.apply(image, rowHeight, weight, backgroundColor, wavesColor);

Knitting image

alt knitting

// keeps the original colors
PImage processedImage = Knitting.apply(image, size);
// Sets foreground and background color and uses a threshold
PImage processedImage = Knitting.apply(image, size, threshold, 240, #EE0000); 

ASCII image

alt ascii

PImage processedImage = ASCII.apply(image);
// characterset = ASCII.SHORT_SET or ASCII.LONG_SET, another String from black to white
PImage processedImage = ASCII.apply(image, characterset); 
PImage processedImage = ASCII.apply(image, characterset, fontSize); // fontSize is an integer
PImage processedImage = ASCII.apply(image, characterset, fontSize, foregroundColor, backgroundColor, toneInColor);
// To get the ASCII image as plain string use the following method
PImage processedImage = ASCII.getAsciiText(image); 


Stacked images

alt stacked

// Add so many images in the end as you need
PImage processedImage = Stacker.apply(Stacker.ALGORITHM.AVERAGE, image1, image2);
PImage processedImage = Stacker.apply(Stacker.ALGORITHM.MEDIAN, image1, image2);

Blending two images

alt blending

// intensity is a float between 0.0 and 1.0
PImage processedImage = Blend.apply(image1, image2, intensity);

Special thanks

My special thanks goes to avatarr for implementing and publishing basic algorithms. Also thank you very much Tom Gibara for your great blog post and the implementation of the canny edge detector.

Moreover I thank you Joseph HENRY for the Sine-Wave-effect code and uheinema for the Sabattier code in the Processing Discourse.

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