000			01440nam a2200241Ia 4500
999			_c374 _d374
001			0001182
003			OSt
005			20190221121524.0
008			170602s9999 xx 000 0 und d
020			_a9789332551916
028			_q2016 _bAllied Informatics, Jaipur
040			_bEnglish _aBSDU _cBSDU
082			_a621.367 _bJAI
100			_aJain, Anil K
245		0	_aFundamentals of Digital Image Processing
260			_bPearson Education _a New Delhi _c2015,c2015
300			_a569
500			_aA thorough overview of the major topics in digital image processing — representation, processing techniques, and communication.
504			_aContents: Introduction. 1. Two Dimensional Systems and Mathematical Preliminaries. 2. Image Perception. 3. Image Sampling and Quantization. 4. Image Transforms. 5. Image Representation by Stochastic Models. 6. Image Enhancement. 7. Image Filtering and Restoration. 8. Image Analysis and Computer Vision. 9. Image Reconstruction From Projections. 10. Image Data Compression.
520			_aSalient Features covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. explores various image processing techniques. discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.
650			_aElectronics
942			_2ddc _cBK