Unit 1 Digital Image Fundamentals

4 lecture hours

• Elements of visual perception
• image sensing and acquisition
• image sampling and quantization
• basic relationships between pixels – neighborhood
• distance measures
• Applications of digital image processing

Unit 2 Image Enhancements and Filtering

7 lecture hours

• Gray level transformations
• histogram equalization and specifications
• pixel-domain smoothing filters – linear and order-statistics
• pixel- domain sharpening filters – first and second derivative
• two-dimensional DFT and its inverse
• frequency domain filters – low-pass and high-pass

Unit 3 Color Image Processing

6 lecture hours

• Color models–RGB, YUV, HSI
• Color transformations– formulation
• color complements
• color slicing
• tone and color corrections
• Color image smoothing and sharpening
• Color Segmentation

Unit 4 Image Segmentation

6 lecture hours

• Detection of discontinuities
• edge linking and boundary detection
• thresholding: global and adaptive
• region-based segmentation

Unit 5 Wavelets and Multi-resolution image processing

• Uncertainty principles of Fourier Transform
• Time-frequency localization
• continuous wavelet transforms
• wavelet bases and multi-resolution analysis
• wavelets and Sub-band filter banks
• wavelet packets

Unit 6 Image Compression

• Redundancy–inter-pixel and psycho-visual
• Lossless compression – predictive
• Lossy compression- predictive and transform coding
• Discrete Cosine Transform
• Still image compression standards – JPEG and JPEG-2000. 5 Subject Code: 3171109 w.e.f