Lecture 1 Introduction to image processing
- 1. Introduction to Image Processing Subject: Image Procesing & Computer Vision Dr. Varun Kumar Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 1 / 10
- 2. Outlines 1 Introduction to Image Processing 2 Motivation 3 Application of Image Processing 4 Challenges of Image Processing 5 References Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 2 / 10
- 3. Introduction to Image Processing: Image In real world application, image is an important source of information. Pi-chart Table Graph Photography image Image is an artifact that depicts visual perception. A photograph or two-dimensional picture, that resembles a physical object and provides a depiction of it. In case of digital image, the fundamental building block of an image is pixel. This pixel is also made of digital data or bit stream, 1 0 1 1 0 1.... Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 3 / 10
- 4. Processing Processing: In the context of signal processing, an image is a distributed amplitude of color(s). In case of black and white image, an a image is a distributed amplitude of black and white. Prerequisite 1 Elementary Mathematics 2 Linear Algebra 3 Digital Electronics 4 Signal and System 5 Digital Signal Processing 6 Programming skills Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 4 / 10
- 5. Motivation: Motivation Image is a source of information. Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 5 / 10
- 6. Application of Image Processing Application of Image Processing Medical science 1 Ultrasound 2 Sonography 3 CT-scan Agriculture Catching of thieves using their pics Traffic management Entertainment Metallurgy and material science Weather forecasting Remote sensing Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 6 / 10
- 7. Types of Image (Signal Perspective) Digital vs Analog Analog Analog images pixel value must be continuous. The amplitude of analog image is infinite. It is quite impossible to store all the pixels of analog image. Resolution of image is of poor quality. Digital Digital images pixel value must be discrete. The amplitude of digital image is finite. It is quite possible to store all the pixels of digital image. Resolution of image is of very high. Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 7 / 10
- 8. Challenges of Image Processing Segmentation process is to simplify or change the representation of an image into meaningful stuff. It is typically used to locate objects and boundaries. Noise filtering Proper image enhancement Contrast image De-blurring (1. Motion blurring 2. Defocused) Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 8 / 10
- 9. Conclusion Conclusion 1 Image processing is an emerging field for information acquiring and information synthesis. 2 In current scenario, digital image is more preferable rather than analog image. 3 Extraction of hidden information from the raw image is one of the important challenges of image processing. Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 9 / 10
- 10. References M. Sonka, V. Hlavac, and R. Boyle, Image processing, analysis, and machine vision. Cengage Learning, 2014. D. A. Forsyth and J. Ponce, “A modern approach,” Computer vision: a modern approach, vol. 17, pp. 21–48, 2003. L. Shapiro and G. Stockman, “Computer vision prentice hall,” Inc., New Jersey, 2001. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital image processing using MATLAB. Pearson Education India, 2004. Subject: Image Procesing & Computer Vision Dr. Varun Kumar (IIIT Surat)Lecture 1 10 / 10