Experiments with an adaptive Bayesian restoration method

Domenico Tegolo; Maria Concetta Maccarone

Experiments with an adaptive Bayesian restoration method

Domenico Tegolo, Maria Concetta Maccarone

Matematica e Informatica

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K-nearest neighbours (KNN) of each 'on' pixel is used to compute the local density. The method has been tested on 'sparse' images, with and without noise background. © 1989.

Original language	English
Pages (from-to)	289-296
Number of pages	8
Journal	Pattern Recognition Letters
Volume	10
Publication status	Published - 1989

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Access to Document

OA Link

Fingerprint Dive into the research topics of 'Experiments with an adaptive Bayesian restoration method'. Together they form a unique fingerprint.

Cite this

@article{a5e2e9ba8ee64a7c9351f50ff4cddfad,

title = "Experiments with an adaptive Bayesian restoration method",

abstract = "This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K-nearest neighbours (KNN) of each 'on' pixel is used to compute the local density. The method has been tested on 'sparse' images, with and without noise background. {\textcopyright} 1989.",

author = "Domenico Tegolo and Maccarone, {Maria Concetta}",

year = "1989",

language = "English",

volume = "10",

pages = "289--296",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

}

TY - JOUR

T1 - Experiments with an adaptive Bayesian restoration method

AU - Tegolo, Domenico

AU - Maccarone, Maria Concetta

PY - 1989

Y1 - 1989

N2 - This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K-nearest neighbours (KNN) of each 'on' pixel is used to compute the local density. The method has been tested on 'sparse' images, with and without noise background. © 1989.

AB - This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K-nearest neighbours (KNN) of each 'on' pixel is used to compute the local density. The method has been tested on 'sparse' images, with and without noise background. © 1989.

UR - http://hdl.handle.net/10447/226215

M3 - Article

VL - 10

SP - 289

EP - 296

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

ER -