Digital_Image_processing

Hi , This is repository for summarizing my DIP skills! My Code and Results are free for everybody~

Supplementary

• If you want to study DIP more deeply, I highly recommend following supplementaries.
  • "Digital Image Processing, Rafael C.Gonzalez, 3rd edition
  • Intro to Digital Image Processing(ECSE-4540) Lectures [LINK]

Contents

1. Affine Transform & Color Transform [LINK for python code and results]

   • Intensity Transformation
     • Negative Transformation
     • Gamma Transformation
     • Log Transformation
     • Contrast Stretching
     • BitSlicing
   • Interpolation
     • Bilinear interpolation
     • Nearest interpolation
   • Rotation
   • Color Transformation
     • RGB to HIS
     • RGB to Ycbcr
     • Ycbcr to RGB
     • RGB to CMY

2. Various filter [LINK for python code and results]

   • Spatial domain filtering
     • Box filter(Smooting linear filter)
     • Laplacian filter
     • Sobel Operator
     • Unsharp masking and highboost filtering
   • Frequency domain filtering
     • Ideal Low & High pass filter
     • Gaussian Low & High pass filter
     • Butterworth Low & High pass filter
     • Notch filter
   • Restoration
     • Spatial domain
       • Median filter
       • Min-max filter
       • Max filter
       • Midpoint filter
       • Alpha-trimmed mean filter
       • Adaptive median filter
     • Frequency domain
       • Inverse filter
       • Wiener filter

3. Thresholding & Morphology [LINK for python code and results]

   • Thresholding
     • Global Thresholding
     • Otsu Thresholding
       • Improving Otsu via Sobel operator
       • Imporving Otsu via Laplacian operator
     • Multiple Thresholding
     • Image partitioning
     • Variable Thresholding
     • Moving Average Thresholding
   • Morphology
     • Erosion
     • Dilation
     • Opening
     • Closing

4. Connected Component labeling [LINK for python code and results] [Reference PAPER]

   • Four connected component labeling(4-CCL)
   • Eight connected component labeling(8-CCL)
   • Fast connected component labeling

5. Block matching algorithm [LINK for python code and results] [Reference PARER]

   • Exhaustive Block Matching Algorithm(EBMA)
   • Logarithmic Search
   • Three Step Search and New Thres Step Search
   • Diamond Search
   • Simple and Efficient Search
   • Reconstruction