AP9251 DIGITAL IMAGE PROCESSING

AP9251 DIGITAL IMAGE PROCESSING 

UNIT I 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, Image sampling, Quantization, Dither, Two dimensional mathematical preliminaries.

UNIT II IMAGE TRANSFORMS

1D DFT, 2D transforms - DFT, DCT, Discrete Sine, Walsh, Hadamard, Slant, Haar, KLT, SVD, Wavelet transform.

UNIT III IMAGE ENHANCEMENT AND RESTORATION

Histogram modification, Noise distributions, Spatial averaging, Directional Smoothing, Median, Geometric mean, Harmonic mean, Contraharmonic and Yp mean filters . Design of 2D FIR filters. Image restoration - degradation model, Unconstrained and Constrained restoration, Inverse filtering-removal of blur caused by uniform linear motion, Wiener filtering, Geometric transformations-spatial transformations, Gray Level interpolation. .

UNIT IV IMAGE SEGMENTATION AND RECOGNITION

Image segmentation - Edge detection, Edge linking and boundary detection, Region growing, Region splitting and Merging, Image Recognition - Patterns and pattern classes, Matching by minimum distance classifier, Matching by correlation., Neural networks-Backpropagation network and training, Neural network to recognize shapes.

UNIT V IMAGE COMPRESSION

Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, Vector Quantization, Block Truncation Coding, Transform coding, JPEG standard, JPEG 2000, EZW, SPIHT, MPEG. 

REFERENCES:

1. Rafael C. Gonzalez, Richard E. Woods, “ Digital Image Processing”, Pearson Education, Inc., Second Edition, 2004

2. Anil K. Jain, “Fundamentals of Digital Image Processing”, Prentice Hall of India, 2002.

3. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins,” Digital Image Processing using MATLAB”, Pearson Education, Inc., 2004.

4. D.E. Dudgeon and R.M. Mersereau, “Multidimensional Digital Signal Processing”, Prentice Hall Professional Technical Reference, 1990.

5. William K. Pratt, “ Digital Image Processing”, John Wiley, New York, 2002. 

6. Milan Sonka et al, “Image Processing, Analysis and Machine Vision”, Brookes/Cole, Vikas Publishing House, 2nd edition, 1999;

7. Sid Ahmed, M.A., “ Image Processing Theory, Algorithms and Architectures”, McGrawHill, 1995.