IT-703 (D) RGPV B.Tech
Digital Image Processing (DIP)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Nov 2023
Syllabus, notes and important questions for IT-703 (D)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction and Digital Image Fundamentals 8 topics
- Origins of Digital Image Processing
- Applications of Digital Image Processing
- Fundamental steps in image processing
- Elements of digital image processing systems
- Image sampling and quantization
- Neighbourhood relationships and connectivity
- Distance measures between pixels
- Linear and non‑linear operations
Unit 2 Image Enhancement in the Spatial Domain 7 topics
- Gray level transformations
- Histogram processing
- Enhancement using arithmetic and logical operations
- Spatial filtering fundamentals
- Smoothing spatial filters
- Sharpening spatial filters
- Combined spatial enhancement techniques
Unit 3 Image Enhancement in the Frequency Domain and Image Restoration 15 topics
- Fourier Transform and frequency‑domain representation
- Smoothing filters in the frequency domain
- Sharpening filters in the frequency domain
- Homomorphic filtering
- Image degradation and restoration model
- Noise models
- Restoration using spatial filtering
- Periodic noise reduction via frequency‑domain filtering
- Linear shift‑invariant degradations
- Estimation of degradation function
- Inverse filtering
- Wiener filtering
- Constrained least‑squares filtering
- Geometric mean filtering
- Geometric transformations
Unit 4 Image Compression and Image Segmentation 11 topics
- Coding and redundancy (interpixel, psychovisual)
- Image compression models
- Elements of information theory
- Error‑free compression comparison
- Lossy compression techniques
- Standard image compression formats
- Edge detection and discontinuity detection
- Edge linking and boundary detection
- Thresholding methods
- Region‑oriented segmentation
- Motion‑based segmentation
Unit 5 Representation, Description and Object Recognition 9 topics
- Image representation schemes
- Boundary descriptors
- Regional descriptors
- Principal component analysis for description
- Morphology basics
- Fundamental morphological algorithms
- Pattern classes and recognition
- Decision‑theoretic recognition methods
- Structural recognition methods