Digital-Image-Processing

digital image processing by Java

Implemented Processes

• Polygonal Curve
  parameter: lowerR, lowerG, lowerB, upperR, upperG, upperB /* default 80, 80, 80, 160, 160, 160 */
  constructor: PolygonalCurve(int lowerR, int lowerG, int lowerB, int upperR, int upperG, int upperB)
• Gamma Conversion
  parameter: gammaR, gammaG, gammaB /* default 2.0, 2.0, 2.0 */
  constructor: GammaConversion(double gammaR, double gammaG, double gammaB)
• S Curve
  parameter: None
  constructor: SCurve()
• Nega Posi
  parameter: None
  constructor: NegaPosi()
• Posterization
  parameter: levelR, levelG, levelB /* default 4, 4, 4 */
  constructor: Posterization(int levelR, int levelG, int levelB)
• Solarization
  parameter: lowerR, lowerG, lowerB, upperR, upperG, upperB /* default 80, 80, 80, 160, 160, 160 */
  constructor: PolygonalCurve(int lowerR, int lowerG, int lowerB, int upperR, int upperG, int upperB)
• Pseudo Color
  parameter: None
  constructor: Pseudo()
• Chroma Key
  parameter: maskR, maskG, maskB, rangeR, rangeG, rangeB /* default 0, 0, 0, 0, 0, 0 */
  constructor: ChromaKey(int maskR, int maskG, int maskB, int rangeR, int rangeG, int rangeB)
• Gray
  parameter: None
  constructor: Gray()
• Percentile method
  parameter: p
  constructor: Percentile(double p)
• Discriminant Analysis method
  parameter: None
  constructor: DiscriminantAnalysis()
• Averaging Filter
  parameter: size
  constructor: Averaging(int size)
• Gaussian Filter
  parameter: size
  constructor: Gaussian(int size)
• Specific Direction Filter
  parameter: size, direction
  constructor: SpecificDirection(int size, int direction)
  /* direction 0: top to bottom, 1: upper right to lower left, 2: left to right, 3: upper left to lower right */
• Median Filter
  parameter: size
  constructor: Median(int size)
• Differential Filter
  parameter: None
  constructor: Differential()
• Sobel Filter
  parameter: None
  constructor: Sobel()
• Prewitt Filter
  parameter: None
  constructor: Prewitt()
• Laplacian Filter
  parameter: None
  constructor: Laplacian()
• Sharping Filter
  parameter: None
  constructor: Sharping()
• Unsharp Masking
  parameter: k /* default 1 */
  constructor: UnsharpMasking(int k)
• Emboss
  parameter: size
  constructor: Emboss(int size)

how to use

• example

  Converter c = new PolygonalCurve(64, 128, 192, 128, 192, 256);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new GammaConversion(3.0, 1.5, 0.5);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new SCurve();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new NegaPosi();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Posterization(16, 8, 4);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Solarization(64, 64, 64, 128, 192, 256);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Pseudo();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new ChromaKey(100, 50, 75, 10, 5, 15);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Gray();  
  c.convert(before_change_image_name, after_change_image_name); 
  c = new Percentile(0.5);  
  c.convert(before_change_image_name, after_change_image_name); 
  c = new DiscriminantAnalysis();  
  c.convert(before_change_image_name, after_change_image_name); 
  c = new Averaging(3);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Gaussian(5);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new SpecificDirection(15, 1);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Median(5);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Differential();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Sobel();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Prewitt();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Laplacian();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Sharping();  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new UnsharpingMasking(10);  
  c.convert(before_change_image_name, after_change_image_name);  
  c = new Emboss(5);  
  c.convert(before_change_image_name, after_change_image_name);