Image dissimilarity

J.B. Martens; L.M.J. Meesters

doi:10.1016/S0165-1684(98)00123-6

Image dissimilarity

J.B. Martens, L.M.J. Meesters

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

95 Citations (Scopus)

Abstract

In this paper we compare the performance of a number of representative instrumental models for image dissimilarity with respect to their ability to predict both image dissimilarity and image quality, as perceived by human subjects. Two sets of experimental data, one for images degraded by noise and blur, and one for JPEG-coded images, are used in the comparison.

Original language	English
Pages (from-to)	155-176
Journal	Signal Processing
Volume	70
Issue number	3
DOIs	https://doi.org/10.1016/S0165-1684(98)00123-6
Publication status	Published - 1998

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title = "Image dissimilarity",

abstract = "In this paper we compare the performance of a number of representative instrumental models for image dissimilarity with respect to their ability to predict both image dissimilarity and image quality, as perceived by human subjects. Two sets of experimental data, one for images degraded by noise and blur, and one for JPEG-coded images, are used in the comparison.",

author = "J.B. Martens and L.M.J. Meesters",

year = "1998",

doi = "10.1016/S0165-1684(98)00123-6",

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T1 - Image dissimilarity

AU - Martens, J.B.

AU - Meesters, L.M.J.

PY - 1998

Y1 - 1998

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AB - In this paper we compare the performance of a number of representative instrumental models for image dissimilarity with respect to their ability to predict both image dissimilarity and image quality, as perceived by human subjects. Two sets of experimental data, one for images degraded by noise and blur, and one for JPEG-coded images, are used in the comparison.

U2 - 10.1016/S0165-1684(98)00123-6

DO - 10.1016/S0165-1684(98)00123-6

M3 - Article

SN - 0165-1684

VL - 70

SP - 155

EP - 176

JO - Signal Processing

JF - Signal Processing

IS - 3

ER -

Image dissimilarity

Abstract

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