Open AccessBook
Fundamentals of digital image processing
Anil K. Jain
- 03 Oct 1988
8.9K
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
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Abstract: 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.
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Citations
Least-squares model-based halftoning
TL;DR: Experiments show that LSMB halftoning produces better textures and higher spatial and gray-scale resolution than conventional techniques and that the LSMB approach gives precise control of image sharpness.
144
Analysis of vocal-fold vibrations from high-speed laryngeal images using a Hilbert transform-based methodology.
TL;DR: A Hilbert transform-based approach to analyze vocal fold vibrations in human subjects exhibiting normal and abnormal voice productions is applied to the analysis of glottal area waveform (GAW) and is capable of providing useful information on the vocal fold vibration.
143
Patent
Method and apparatus for protecting the legitimacy of an article
Jiankang Wu,Qibin Sun,Huijie Robert Deng +2 more
- 23 Dec 1998
TL;DR: In this paper, a method, an apparatus and a computer program product are disclosed for protecting the legitimacy of an article, and in particular an electronic document, against forgery or fraud.
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General form for obtaining discrete orthogonal moments
TL;DR: In this paper, the authors proposed two general forms which simplify and group the discrete orthogonal Tchebichef and Krawtchouk polynomials and their corresponding moments, and discussed their importance in theories and applications.
Artificial neural networks in real-time car detection and tracking applications
TL;DR: Three applications representing different approaches to car detection and tracking problems are presented, and artificial neural networks are utilized to solve the essential subproblems.
142
References
A New Approach to Linear Filtering and Prediction Problems
Tamer Basar
- 01 Jan 2001
TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
22.7K
Linear prediction: A tutorial review
John Makhoul
- 01 Apr 1975
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
4.4K
•Proceedings Article
Image Processing
E.E. Pissaloux
- 01 Jan 1994
TL;DR: The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.
2.5K