Module 1
Image representation and modeling – Characteristics of a digital image – Elements of digital image processing systems – Image digitizers & scanners – Elements of visual perception – Brightness & contrast – Image sampling & Quantisation – Two dimensional Sampling theorem – Reconstruction of image from its samples – Aliasing.
Image representation and modeling – Characteristics of a digital image – Elements of digital image processing systems – Image digitizers & scanners – Elements of visual perception – Brightness & contrast – Image sampling & Quantisation – Two dimensional Sampling theorem – Reconstruction of image from its samples – Aliasing.
Module 2
Image Transforms – Two dimensional orthogonal & unitary transforms – Properties of unitary transforms – Two dimensional DFT & its properties – Cosine – Hadamard – Haar – Sine – KL Transforms & their properties.
Image Transforms – Two dimensional orthogonal & unitary transforms – Properties of unitary transforms – Two dimensional DFT & its properties – Cosine – Hadamard – Haar – Sine – KL Transforms & their properties.
Module 3
Image Enhancement – Point processing – Histogram modeling & Equalization – Spatial Filtering – Filtering in the frequency domain – color Image processing.
Image Enhancement – Point processing – Histogram modeling & Equalization – Spatial Filtering – Filtering in the frequency domain – color Image processing.
Module 4
Image Restoration – Degradation model – Inverse filtering – Wiener Filter – Interactive restoration – Image analysis & vision -basic principles only.
Image Restoration – Degradation model – Inverse filtering – Wiener Filter – Interactive restoration – Image analysis & vision -basic principles only.
Module 5
Image Coding & Compression- basic principles – run length coding – variable length coding – bit plane coding – loss-less predictive coding – lossy predictive coding – Transform coding – Image compression standards.
Image Coding & Compression- basic principles – run length coding – variable length coding – bit plane coding – loss-less predictive coding – lossy predictive coding – Transform coding – Image compression standards.
mgu university b.tech syllabus electronics
References
1. Digital image Processing I.Gonzalez Rafel C, Pearson Education.
2. Fundamentals of digital image processing Jain Anil K, PHI.
3. Digital Image Processing Pratt William K, John Wiley.
2. Fundamentals of digital image processing Jain Anil K, PHI.
3. Digital Image Processing Pratt William K, John Wiley.