• conv2demo.m -- Demonstratioin of 2d convolution using the sample in the lecture note
• Mydemo.m -- An introduction to Image Processing (updated 9/2005)
• Cdemo.m -- Demonstration of color manipulation using mysail.bmp (updated 9/2005)
• l5e2.m -- generate frequency response example
• l7e1.m -- demo 2D Fourier Transform
• alias.m -- demonstrating effect of alias in 1D case.

Image Enhancement

• enh_pixel.m -- demonstrating pixel-based image enhancement methods, including intensity transformation and histogram equalization (new, 9/2005)
• histeqdemo.m -- histogram equalization example, and test image file p64int.txt
  histeq.m -- A callable subroutine of histogram equalization
• freq.m -- demonstrating frequency domain fitlering approaches.
• filterdemo.m -- demonstrating spatial domain filtering approaches, and the test image file lena.bmp
• p64.bmp -- a 64 by 64 gray scale image used by freq.m and spatial.m

Image Restoration

• invfildemo.m -- demonstration of inverse filter, Wiener filter and Constrained least square restoration methods
• motionblur.m -- generate linear motion blur masks,
• blurdemo.m -- demonstrations of image blurring process

Image Coding

• entropy.m -- compute entropy of a given probability vector
• huffman Coding --
  huff_tbl.m generating huffman code table,
  huff_enc.m huffman code Encoding, and
  huff_dec.m huffman code decoding.
• Arithmetic coding Demostration --
  arcodemo.m, Demonstration program,
  arenc.m, encoding routine, and
  ardec.m, decoding routine.

JPEG/MPEG encoding matlab mfiles

• jpegdemo.m -- Demonstrating Jpeg encoding.
• divq.m -- Weigthed quantization.
• dpcm.m -- JPEG DPCM for DC coefficient
• jdcenc.m -- DC Coefficient huffman Encoding.
• jacenc.m -- AC Coefficient huffman Encoding.
• int2bin.m -- Integer to binary (sign-mag) representation. Needed by jdcenc.m, and jacenc.m.
• medemo.m -- demonstration of motion estimation
  medemo.mat -- data file for medemo.m

Mathematical Morphology

• morphdemo.m -- Morphological Processing demonstration
• hitnmiss.m -- subroutine for hit-n-miss transform
• imopen.m -- subroutine for opening operation
• imclose.m -- subroutine for closing operation
• fig915.m -- Figure 9.15, Region filling example, Gonzales and Woods book, pp. 536.
• fig917.m -- Figure 9.17, connected component extraction example, Gonzales and Woods book, pp. 537.
• fig921.m -- Figure 9.21, thinning example, Gonzales and Woods book, pp. 542.
• fig924.m -- Figure 9.24, skeletonization example, Gonzales and Woods book, pp. 545.
• boundarydemo.m -- demonstrate boundary extraction, interior filling
  imfill.m -- callable routine for interior filling

Image Segmentation

• threshdemo.m -- demonstration of global and local thresholding for segmentation. Require kmeansf.m, kmeantest.m, dist.m
• houghdemo.m -- demonstration program for hough.m
• hough.m -- Hough transform for binary image.

Multiresolution Analysis

• waveletdemo.m -- demonstration of single level discrete wavelet decomposition of an image

Supporting routines

• Clustering
  clusterdemo.m -- Demonstration of Kmeans (LBG) clutering algorithm for vector quantization.
  kmeansf.m -- clustering engine called by kmeans.m.
  kmeantest.m -- compute membership, and distortion after clustering
  
• dgen2.m -- generate random mixture of normal distributed data. Called by pca.m
• dist.m -- calculating distances
• datagen.m - data generation routine called by clusterdemo.m