Image Processing
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Image Processing Syllabus — Unit-wise Content
The official GTU curriculum for Image Processing (subject code 2171712) as prescribed for IC · Semester 7 divides the course into 9 units, covering 37 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2171712)Unit 1 Introduction and Digital Image Fundamentals
- Digital Image Fundamentals
- Human visual system
- Image as a 2D data
- Image representation – Gray scale and Color images
- image sampling and quantization
Unit 2 Image enhancement in Spatial domain
- Basic gray level Transformations
- Histogram Processing Techniques
- Spatial Filtering
- Low pass filtering
- High pass filtering
Unit 3 Filtering in the Frequency Domain
- Preliminary Concepts
- Extension to functions of two variables
- Image Smoothing
- Image Sharpening
- Homomorphic filtering
Unit 4 Image Restoration and Reconstruction
- Noise Models
- Noise Reduction
- Inverse Filtering
- MMSE (Wiener) Filtering
Unit 5 Color Image Processing
- Color Fundamentals
- Color Models
- Pseudo color image processing
Unit 6 Image Compression
- Fundamentals of redundancies
- Basic Compression Methods Huffman coding
- Arithmetic coding
- LZW coding
- JPEG Compression standard
Unit 7 Morphological Image Processing
- Basic Morphological Algorithms hole filling
- connected components
Unit 8 Image Segmentation
- line and edge detection
- Regions Based segmentation
- Edge linking and boundary detection
- Hough transform
Unit 9 Object Recognition and Case studies
- Object Recognition- patterns and pattern classes
- recognition based on decision – theoretic methods
- structural methods
- case studies – image analysis Application of Image processing in process industries
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