Parametric Image

About: Parametric Image is a research topic. Over the lifetime, 311 publications have been published within this topic receiving 6095 citations.

Parametric image coding by means of polynomial transforms

Abstract: In this paper we propose an image coding scheme based on the polynomial transform and multiresolution analysis. The polynomial transform is an image representation model that mimics some properties of the human vidual system, and which we use in order to model edges in terms of their characteristic parameters. Based on the polynomial transform, we build a pyramidal hierarchical predictive scheme for image coding. The feature parameters that we encode are: local average, edge orientation, edge position and edge magnitude.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Picosecond fluorescence lifetime imaging by parametric image amplification

Abstract: We report a new method of fluorescence lifetime imaging that uses the ultra-fast optical temporal gate properties of parametric image amplification. Images with different lifetimes in the picosecond range are resolved with reliable and reproducible results. All these results are in good agreement with the lifetimes measured with a streak camera.

Phase-sensitive parametric image amplification: application to noiseless image amplification

Abstract: We report semi-classical numeric simulations of the quantum spatial fluctuations in parametric amplification of images limited by the shot noise. Noiseless amplification of images is demonstrated by the use of a degenerate type 2 phase sensitive amplifier.

Visualization and numerical modeling of disturbed flows observed in cineangiography

Abstract: A set of angiographically acquired images of steady control flows in constricted and unconstricted Plexiglas models and in a human coronary bypass graft was acquired. A set of flow sensitive parametric images was derived from those sequences. The Plexiglas arterial model (phantom) was designed specifically for this study. The parametric images were calculated using the contrast density curves obtained at each pixel in a region of interest in a sequence of angiographically acquired images. The calculated parameters described are a contrast velocity image derived from the slope of the contrast density curve, and an arrival time image of the contrast bolus. A numerical simulation of the contrast flows in the Plexiglas phantoms was also conducted and a synthetic arrival time parametric image was calculated which qualitatively validates the experimental results. This study indicates that parametric images offer an efficient means of identifying regions of recirculation and jetting velocity for the steady flow of Newtonian fluids examined, and may be of diagnostic value in the assessment of human vessels. >

Fixed-Point Methods in Parametric Model Checking

Abstract: We present a general framework for the synthesis of the constraints under which the selected properties hold in a class of models with discrete transitions, together with Boolean encoding - based method of implementing the theory. We introduce notions of parametric image and preimage, and show how to use them to build fixed-point algorithms for parametric model checking of reachability and deadlock freedom. An outline of how the ideas shown in this paper were specialized for an extension of Computation Tree Logic is given together with some experimental results.