1. Ec2029 digital image processingBy
M.Vasudevan A.P/ECE

2. Course objective
To understand the image fundamentals and mathematical transforms necessary for image processing and to study the image enhancement techniques.
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.

3. What is meant by image?
An image can be defined as a two- dimensional signal (analog or digital), that contains intensity (grayscale), or color information arranged along an x and y spatial axis.

4. Unit-1 DIGITAL IMAGE FUNDAMENTALS
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.

5. Elements of Digital Image processing

6. Unit-2 IMAGE ENHANCEMENT
Histogram equalization and specification techniques
Noise distributions
Spatial averaging
Directional Smoothing
Median, Geometric mean
Harmonic mean
Contraharmonic mean filters
Homomorphic filtering
Color image enhancement.

7. Histogram

8. Unit-3 IMAGE RESTORATION
Image Restoration - degradation model
Unconstrained restoration
Lagrange multiplierand Constrained restoration
Inverse filtering-removal of blur caused by uniform linear motion
Wiener filtering
Geometric transformations
Spatial transformations.

9. Image Restoration

10. Unit-4 IMAGE SEGMENTATION
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 segmentation algorithm.

11. Edge detection

12. Region Splitting

13. Region merging

14. Unit-5 IMAGE COMPRESSION
Need for data compression
Huffman coding
Run Length Encoding
Shift codes
Arithmetic coding
Vector Quantization
Transform coding
JPEG standard
MPEG

15. Image Compression

16. “One picture is worth more than ten thousand words”