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II MSC CS (2022-24 Batch) : Sem 3 : Digital Image Processing Syllabus

 


M. Sc., COMPUTER SCIENCE (2022 – 2024 Batch)

Semester III

Paper Name: DIGITAL IMAGE PROCESSING

Paper Code: 22PCSCC31

UNIT I

Fundamentals: Image Sensing and Acquisition, Image Sampling and Quantization, relationship between Pixels; Random noise; Gaussian Markov Random Field, σ-field, Linear and Non-linear Operations; Image processing models: Causal, Semi-causal, Non-causal models.

Color Models: Color Fundamentals, Color Models, Pseudo-color Image Processing, Full Color Image Processing, Color Transformation, Noise in Color Images.

UNIT II

Spatial Domain: Enhancement in spatial domain: Point processing; Mask processing; Smoothing Spatial Filters; Sharpening Spatial Filters; Combining Spatial Enhancement Methods.

Frequency Domain: Image transforms: FFT, DCT, Karhunen-Loeve transform, Hotlling’s T2 transform, Wavelet transforms and their properties. Image filtering in frequency domain.

 

 

UNIT III

Edge Detection: Types of edges; threshold; zero-crossing; Gradient operators: Roberts, Prewitt, and Sobel operators; residual analysis based technique; Canny edge detection. Edge features and their applications.

UNIT IV

Image Compression: Fundamentals, Image Compression Models, Elements of Information Theory. Error Free Compression: Huff-man coding; Arithmetic coding; Wavelet transform based coding; Lossy Compression: FFT; DCT; KLT; DPCM; MRFM based compression; Wavelet transform based; Image Compression standards.

UNIT V

Image Segmentation: Detection and Discontinuities: Edge Linking and Boundary Deduction; Threshold; Region-Based Segmentation. Segmentation by Morphological watersheds. The use of motion in segmentation, Image Segmentation based on Color.

Morphological Image Processing: Erosion and Dilation, Opening and Closing, Hit-Or-Miss Transformation, Basic Morphological Algorithms, Gray-Scale Morphology.

Text Books

1.      RafaelGonzalez, Richard E. Woods, “Digital Image Processing ” , Fourth Edition, PHI/PearsonEducation,2013.

2.      A.K.Jain, Fundamentals of Image Processing, Second Ed., PHI, New Delhi, 2015.

Supplementary Readings

1.      B.Chanla, D. Dutta Majumder , “ Digital Image Processing and Analysis ” , PHI, 2003.

2.      Nick Elford, “Digital Image Processing a practical introducing using Java”, Pearson Education, 2004.

3.      Todd R.Reed, “Digital Image Sequence Processing , Compression , and Analysis” ,CRC Press,2015.

4.      L.Prasad, S. S. Iyengar, “Wavelet Analysis with Applications to Image Processing”, CRCPress, 2015.


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