Fundamentals of digital image processing

TL;DR: This paper presents a new external force for active contours, which is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image, and has a large capture range and is able to move snakes into boundary concavities.

TL;DR: This work suggests acquiring two images for each diffusion gradient; one with bottom-up and one with top-down traversal of k-space in the phase-encode direction, which achieves the simultaneous goals of providing information on the underlying displacement field and intensity maps with adequate spatial sampling density even in distorted areas.

TL;DR: A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.

TL;DR: In this article, the authors adopt a view that many problems of image restoration are probably geometric in character and admit the following initial linear formulation: the original f is a vector known a priori to belong to a linear subspace of a parent Hilbert space, but all that is available to the observer is its image P_{a} f, the projection of f onto a known linear sub space, also in \cal H ).

TL;DR: A large variety of algorithms for image data compression are considered, starting with simple techniques of sampling and pulse code modulation (PCM) and state of the art algorithms for two-dimensional data transmission are reviewed.

TL;DR: Effective methods for generating two-dimensional quarter-plane causal autoregressive (AR) and Autoregressive moving average (ARMA) spectral estimation models are developed to provide super resolution capabilities when compared to other more classical methods such as the Fourier transform.

TL;DR: This paper considers an application of spectral estimation to adaptive restoration of images degraded by additive white noise by comparing three adaptive techniques of restoration.