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
Linearly Constrained Non-Lipschitz Optimization for Image Restoration
Wei Bian,Xiaojun Chen +1 more
TL;DR: It is proved that any cluster point of $\epsilon$ scaled first order stationary points satisfies a first order necessary condition for a local minimizer of the optimization problem as $\ep silon $ goes to $0$ and proposed smoothing quadratic regularization (SQR) method for solving the problem.
Simultaneous tracking of multiple body parts of interacting persons
Sangho Park,Jake K. Aggarwal +1 more
TL;DR: A framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow using an attribute relational graph based multi-target, multi-association tracking system and a coarse model of the human body.
80
On the reconstruction aspects of moment descriptors
TL;DR: The problem of reconstruction of an image from discrete and noisy data by the method of moments by the set of orthogonal moments based on Legendre polynomials is examined and mutual relationships between a number of moments, the image smoothness, sampling rate, and noise model characteristics are revealed.
80
Three-dimensional point spread function measurement of cone-beam computed tomography system by iterative edge-blurring algorithm.
Zikuan Chen,Ruola Ning +1 more
TL;DR: The iterative edge-blurring algorithm for PSF measurement is demonstrated and the system's spatial variance is measured in terms of full-width-at-half-maximum (FWHM) of the local PSFs.
80
Color Image Enhancement Based on Single-Scale Retinex With a JND-Based Nonlinear Filter
Doo-Hyun Choi,Ick Hoon Jang,Mi Hye Kim,Nam Chul Kim +3 more
- 27 May 2007
TL;DR: Experimental results show that the proposed method yields better performance of color enhancement over the conventional histogram equalization and SSR for test color images.
80
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