Metrics for measuring the impact of image processing algorithms on background statistics

Patrick J. Harding; Gordon Arthur; Neil M. Robertson

doi:10.1117/12.800308

Metrics for measuring the impact of image processing algorithms on background statistics

Patrick J. Harding, Gordon Arthur, Neil M. Robertson

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application. © 2008 SPIE.

Original language	English
Title of host publication	Image and Signal Processing for Remote Sensing XIV
Volume	7109
DOIs	https://doi.org/10.1117/12.800308
Publication status	Published - 2008
Event	Image and Signal Processing for Remote Sensing XIV - Cardiff, Wales, United Kingdom Duration: 15 Sept 2008 → 18 Sept 2008

Conference

Conference	Image and Signal Processing for Remote Sensing XIV
Country/Territory	United Kingdom
City	Cardiff, Wales
Period	15/09/08 → 18/09/08

Keywords

Algorithms
Image processing
Image statistics
Psychophysics
Texture

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10.1117/12.800308

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title = "Metrics for measuring the impact of image processing algorithms on background statistics",

abstract = "In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application. {\textcopyright} 2008 SPIE.",

keywords = "Algorithms, Image processing, Image statistics, Psychophysics, Texture",

author = "Harding, {Patrick J.} and Gordon Arthur and Robertson, {Neil M.}",

year = "2008",

doi = "10.1117/12.800308",

language = "English",

isbn = "9780819473400",

volume = "7109",

booktitle = "Image and Signal Processing for Remote Sensing XIV",

note = "Image and Signal Processing for Remote Sensing XIV ; Conference date: 15-09-2008 Through 18-09-2008",

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T1 - Metrics for measuring the impact of image processing algorithms on background statistics

AU - Harding, Patrick J.

AU - Arthur, Gordon

AU - Robertson, Neil M.

PY - 2008

Y1 - 2008

N2 - In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application. © 2008 SPIE.

AB - In surveillance and remote sensing applications images are often subject to processing both at the sensor and for display/storage. This paper presents a step towards measuring and understanding how these processes impact on human interpretation of regions of similar statistics within images. The paper describes the methods involved, including image generation, image processing algorithm application, and algorithm impact measurement techniques. A comparison is then made between the impact measurements and human observations. It is suggested that data on mathematical measures of the impact of processing algorithms on statistical regions of images may be usable for intelligent algorithm application. © 2008 SPIE.

KW - Algorithms

KW - Image processing

KW - Image statistics

KW - Psychophysics

KW - Texture

UR - http://www.scopus.com/inward/record.url?scp=57649134496&partnerID=8YFLogxK

U2 - 10.1117/12.800308

DO - 10.1117/12.800308

M3 - Conference contribution

SN - 9780819473400

VL - 7109

BT - Image and Signal Processing for Remote Sensing XIV

T2 - Image and Signal Processing for Remote Sensing XIV

Y2 - 15 September 2008 through 18 September 2008

ER -

Metrics for measuring the impact of image processing algorithms on background statistics

Abstract

Conference

Keywords

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