Course11710513559 lectures
Digital Image Processing
Prof. Prabir Kumar Biswas · IIT Kharagpur
Lectures
Week 1
- Lecture 01 : Introduction to Digital Image Processing
- Lecture 02: Application of Digital Image Processing
- Lecture 03: Image Digitalisation, Sampling Quantization and Display
- Lecture 04: Signal Reconstruction Form Samples : Convolution Concept
- Lecture 05: Signal Reconstruction from Image
Week 2
- Lecture 06: Quantizer Design
- Lecture 07: Relationship between pixels
- Lecture 08: Relationship of Adjacency and Connected Components Labeling
- Lecture 09: Application of Distance Measures
- Lecture 10: Basic Transform
Week 3
- Lecture 11: Image Formation - I
- Lecture 12: Image Formation - II
- Lecture 13: Image Geometry - I
- Lecture 14: Image Geometry - II
- Lecture 15: Stereo Imaging Model - II
Week 4
- Lecture 16: Interpolation and Resampling
- Lecture 17 : Interpolation Techniques
- Lecture 18: Interpolation with examples - I
- Lecture 19: Interpolation with Examples - II
- Lecture 20: Image Transformation - I
Week 5
- Lecture 21: Image Transformation - 2
- Lecture 22: Separable Transformation
- Lecture 23: Basis Images
- Lecture 24: Fourier Transformation
- Lecture 25: Properties of FT
Week 6
- Lecture 26 : FT Result Display - 2
- Lecture 27: Rotation Invariance Property
- Lecture 28: DCT and Walsh Transform
- Lecture 29: Handmard Transformation
- Lecture 30 : Histogram Equalization and Specifications - 1
Week 7
- Lecture 31: KL-Transform-2
- Lecture 32: Image Enhancement: Point Processing Techniques
- Lecture 33: Contrast Stretching Operation
- Lecture 34: Histogram Equalization and Specifications - I
- Lecture 35: Histogram Equalization and Specification - II
Week 8
- Lecture 36 : Histogram Implementation - I
- Lecture 37 : Histogram Implementation - II
- Lecture 38 : Image Enhancement : Mask Processing Techniques - I
- Lecture 39 : Image Enhancement : Mask Processing Techniques - II
- Lecture 40 : Image Enhancement : Mask Processing Techniques - III
Week 9
- Lecture 41: Frequency Domain Processing Techniques
- Lecture 42: Image Restoration Techniques - I
- Lecture 43: Image Restoration Techniques - II
- Lecture 44: Estimation of Degradation Model and Restoration Techniques - I
- Lecture 45: Estimation of Degradation Model and Restoration Techniques - II
Week 10
- Lecture 46 : Other Restoration Techniques - I
- Lecture 47 : Other Restoration Techniques - II
- Lecture 48 : Image Registration - I
- Lecture 49 : Image Registration - II
- Lecture 50 : Colour Image Processing : Colour Fundamentals
Week 11
- Lecture 51: Colour Model
- Lecture 52 : Conversion of one color model to another - I
- Lecture 53 : Conversion of one color model to another - II
- Lecture 54 : Pseudo Color Image Processing
- Lecture 55: Full Color Image Processing
Week 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Electrical Engineering
- Teacher
- Prof. Prabir Kumar Biswas
- Level
- Undergraduate
- Language
- English
- Subjects
- Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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