EC2029 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012

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EC2029 DIGITAL IMAGE PROCESSING SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE ELECTRONICS AND COMMUNICATION ENGINEERING DEPARTMENT SYLLABUS IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011-2012 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

EC2029 DIGITAL IMAGE PROCESSING L T P C
3 0 0 3
AIM
To introduce the student to various image processing techniques.
OBJECTIVES
 To study the image fundamentals and mathematical transforms necessary for image
processing.
 To study the image enhancement techniques
 To study image restoration procedures.
 To study the image compression procedures.
 To study the image segmentation and representation techniques.
UNIT I DIGITAL IMAGE FUNDAMENTALS 9
Elements of digital image processing systems, Vidicon and Digital Camera working
principles, Elements of visual perception, brightness, contrast, hue, saturation, mach
band effect, Color image fundamentals - RGB, HSI models, Image sampling,
Quantization, dither, Two-dimensional mathematical preliminaries, 2D transforms - DFT,
DCT, KLT, SVD.
UNIT II IMAGE ENHANCEMENT 9
Histogram equalization and specification techniques, Noise distributions, Spatial
averaging, Directional Smoothing, Median, Geometric mean, Harmonic mean,
Contraharmonic mean filters, Homomorphic filtering, Color image enhancement.
UNIT III IMAGE RESTORATION 9
Image Restoration - degradation model, Unconstrained restoration - Lagrange multiplier
and Constrained restoration, Inverse filtering-removal of blur caused by uniform linear
motion, Wiener filtering, Geometric transformations-spatial transformations.
UNIT IV IMAGE SEGMENTATION 9
Edge detection, Edge linking via Hough transform – Thresholding - Region based
segmentation – Region growing – Region splitting and Merging – Segmentation by
morphological watersheds – basic concepts – Dam construction – Watershed
87
segmentation algorithm.
UNIT V IMAGE COMPRESSION 9
Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic
coding, Vector Quantization, Transform coding, JPEG standard, MPEG.
TOTAL : 45 PERIODS
TEXTBOOK
1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing', Pearson,
Second Edition, 2004.
2. Anil K. Jain, , Fundamentals of Digital Image Processing', Pearson 2002.
REFERENCES
1. Kenneth R. Castleman, Digital Image Processing, Pearson, 2006.
2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,' Digital Image Processing
using MATLAB', Pearson Education, Inc., 2004.
3. D,E. Dudgeon and RM. Mersereau, , Multidimensional Digital Signal Processing',
Prentice Hall Professional Technical Reference, 1990.
4. William K. Pratt, , Digital Image Processing' , John Wiley, New York, 2002
5. Milan Sonka et aI, 'IMAGE PROCESSING, ANALYSIS AND MACHINE VISION',
Brookes/Cole, Vikas Publishing House, 2nd edition, 1999,