Dr A.P.J. Abdul Kalam Technical University, UP (AKTU), Computer Engineering Semester 6, Image Processing Syllabus

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Unit - 1 DIGITAL IMAGE FUNDAMENTALS

1.1 Steps in Digital Image Processing

1.2 Components

1.3 Elements of Visual Perception

1.4 Image Sensing and Acquisition

1.5 Image Sampling and Quantization

1.6 Relationship between Pixels

1.7 Color image fundamentals

1.8 RGB HSI Models

1.9 Twodimensional mathematical preliminaries 2D transforms – DFT DCT

Unit - 2 IMAGE ENHANCEMENT

2.1 Spatial Domain Gray level transformations

2.2 Histogram processing

2.3 Basics of Spatial Filtering Smoothing and Sharpening Spatial Filtering

2.4 Frequency Domain Introduction to Fourier Transform

2.5 Smoothing and sharpening frequency domain filters Ideal Butterworth and Gaussian filters

2.6 Homomorphic filtering

2.7 Color image enhancement

Unit - 3 IMAGE RESTORATION

3.1 Image Restoration Degradation model Properties Noise models

3.2 Mean Filters Order Statistics

3.3 Adaptive filters

3.4 Band rejects Filters

3.5 Bandpass Filters

3.6 Notch Filters

3.7 Optimum Notch Filtering

3.8 Inverse Filtering

3.9 Wiener filtering

Unit - 4 IMAGE SEGMENTATION

4.1 Edge detection

4.2 Edge linking via Hough transforms

4.3 Thresholding

4.4 Regionbased segmentation Region growing Region splitting and merging

4.5 Morphological processing erosion and dilation

4.6 Segmentation by morphological watersheds Basic concepts Dam construction

4.7 Watershed segmentation algorithm

Unit - 5 IMAGE COMPRESSION AND RECOGNITION

5.1 Need for data compression

5.2 Huffman

5.3 Run Length Encoding

5.4 Shift codes

5.5 Arithmetic coding

5.6 JPEG standard MPEG

5.7 Boundary representation Boundary description

5.8 Fourier Descriptor

5.9 Regional Descriptors

5.10 Topological feature Texture

5.11 Patterns and Pattern classes

5.12 Recognition based on matching

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