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Digital Image Processing

Digital Image Processing. Instructor: Prof. P.K. Biswas, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. Digital image processing deals with processing of images which are digital in nature. Study of the subject is motivated by three major applications. The first application is in improvement of pictorial information for human perception i.e. enhancing the quality of the image so that the image will have a better look. The second is for autonomous machine applications which have wider applications in industries, particularly for quality control in assembly automation and many similar applications. This course will introduce various image processing techniques, algorithms and their applications. (from nptel.ac.in)

Introduction


Lecture 01 - Introduction to Digital Image Processing
Lecture 02 - Application of Digital Image Processing
Lecture 03 - Image Digitization, Sampling Quantization and Display
Lecture 04 - Signal Reconstruction from Samples: Convolution Concept
Lecture 05 - Signal Reconstruction from Image
Lecture 06 - Quantizer Design - Image Quantization, Staircase Quantizer, Quantization Error
Lecture 07 - Relationship between Pixels
Lecture 08 - Relationship of Adjacency and Connected Components Labeling
Lecture 09 - Application of Distance Measures - Euclidean Distance, City-Block Distance, Chessboard Distance
Lecture 10 - Basic Transformations (Translation, Rotation, Scaling), Inverse Transformation
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
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
Lecture 21 - Image Transformation II
Lecture 22 - Separable Transformation
Lecture 23 - Basis Images
Lecture 24 - Fourier Transform
Lecture 25 - Properties of Fourier Transform
Lecture 26 - Fourier Transform Result Display
Lecture 27 - Rotation Invariance Property
Lecture 28 - Discrete Cosine Transform (DCT) and Walsh Transform
Lecture 29 - Hadamard Transformation
Lecture 30 - Karhunen-Loeve Transform
Lecture 31 - Karhunen-Loeve Transform (cont.)
Lecture 32 - Image Enhancement: Point Processing Techniques
Lecture 33 - Contrast Stretching Operation
Lecture 34 - Histogram Equalization and Specifications I
Lecture 35 - Histogram Equalization and Specifications II
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
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
Lecture 46 - Other Restoration Techniques I: Inverse Filtering
Lecture 47 - Other Restoration Techniques II: Constrained Least Square Filter
Lecture 48 - Image Registration I
Lecture 49 - Image Registration II
Lecture 50 - Colour Image Processing: Colour Fundamentals
Lecture 51 - Colour Model
Lecture 52 - Conversion of One Colour Model to Another I
Lecture 53 - Conversion of One Colour Model to Another II
Lecture 54 - Pseudo Colour Image Processing
Lecture 55 - Full Colour Image Processing
Lecture 56 - Different Approaches for Image Segmentation
Lecture 57 - Image Segmentation: Global Processing (Hough Transform)
Lecture 58 - Region based Segmentation Operations, Thresholding Techniques
Lecture 59 - Region Splitting and Merging Technique

References
Digital Image Processing
Instructor: Prof. P.K. Biswas, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. Digital image processing deals with processing of images which are digital in nature.