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Digital image processing
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- 2. Content • What isDigital Image ? • What is Digital Image Processing ? • Application of Digital Image Processing • Scope of Digital Image Processing • Fundamental steps of Digital Image Processing • Conclusion
- 3. Image • An imagecan be defined as a two-dimensional function , f(x , y),where x and y are the spatial(plane) coordinates • f(x, y) used to represent the intensity or grey level at the coordinate (x, y). • OR • Projection of 3D scene into 2D plane.
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- 5. Type of image •Analog Image • When an image have continuous range of value for position and intensity. • Example image produce by • Screen of CRT Monitor • Digital Image • When an image have finite discrete range of value for position and intensity. • Example image produce by • Digital computes
- 6. Analog to DigitalImage • We can convert analog image to digital image using sampling and quantization. • Sampling:- It is the reduction of continuous range of position into a discrete or finite range of position. • Quantization:-It is the process of mapping input values from a large set to output values in a smaller set, often with a finite number of elements. It is done to move to continuous range of value of intensity in finite range.
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- 10. Digital Image • Digitalimage contains finite number of elements ,each of which have particular location and value. • This elements are called image elements , pixels.
- 11. Advantages of DigitalImages • Fast processing(As have finite value) • Efficient storage • Efficient Transmission • Scope for versatile image manipulation
- 12. Disadvantage of DigitalImage • High memory for good quality of images and hence require fast processor. • As the quality of image improve the digital image become more and more less efficient in terms of storage and transmission.
- 13. Digital Image Processing •The process of manipulating digital images with a computer is called as digital image processing.
- 14. Advantage of DigitalImage Processing • Human being are limited to visual band of electromagnetic spectrum. • But machine imaging can cover the entire electromagnetic spectrum from radio waves to gamma waves.
- 15. Advantage of DigitalImage Processing • Image processing is applied in recognition of images as in quality assurance systems • Image enhancement as in satellite reconnaissance systems • Image synthesis as in law enforcement suspect identification systems • Image construction as in plastic surgery design systems.
- 16. Scope of DigitalImage Processing • Computer Vision- Computer uses to emulate human vision through which machine could learn and take action according to the visual input. • Image sharpening and restoration - To create a better image. • Image retrieval - Seek for the image of interest. • Measurement of pattern – Measures various objects in an image. • Image Recognition – Distinguish the objects in an image.
- 17. Fundamental Steps ofDigital Image Processing • There two methods to divide fundamental steps of digital Image Processing • Method whose input and output are image. • Method whose input is image but output are attributes extracted from the image.
- 19. Image Acquiring • Generallyimage acquiring is the process getting image and performing some preprocessing such as scaling.
- 20. Image enhancement • Theprocess of manipulating an image such that it is suitable for some specific application. • Such as while creating a pdf from Cam Scanner or other such application.
- 21. Image Restoration • Theprocess of improving the image based on some mathematical model and probability of image degradation. • Image Restoration is done so that original image which have degrade due to weather or other phenomena can be improved for use.
- 22. Color Image Processing •As the name suggest the process of adding or modifying the intensity of the image. • Widely used to improve the image and it more attractive .
- 23. Compression • As namesuggest reducing the amount of space require to store the image. • Which led to the reduce in the amount of bandwidth require to transmit image
- 24. Morphological process • Itdeals with the tools for extracting image component that are useful in the representation and description of shape.
- 25. Segmentation • Partition animage into constitute parts or object
- 26. Representation and Description •As the name suggest the conversation of image data into suitable form for Computer processing.
- 27. Object Recognition • Itis the process of assign labels to object based on description • Part of Computer Vision.
- 28. Wavelet • A waveletis a wave-like oscillation with an amplitude that begins at zero • The foundation of representing image in various degree of resolution
- 29. Knowledge Based • Aprior Knowledge about the problem domain is coded into image processing machine
- 30. Conclusion • Using imageprocessing techniques, • We can sharpen the images • We can contrast to make a graphic display more useful for display • We can reduce amount of memory requirement for storing image information, etc. • We can transmit the images more faster
- 31. Conclusion • There isno limit to the scope of Digital Image processing. • There is a future of digital image processing. • We all are in midst of revolution ignited by fast development in computer technology and imaging. • Against common belief, computers are not able to match humans in calculation related to image processing and analysis. • But with increasing sophistication and power of the modern computing, computation will go beyond conventional, Von Neumann sequential architecture and would contemplate the optical execution too.
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