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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)

Lecture 05 - Signal Reconstruction from Image

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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