Distance-reciprocal distortion measure for binary document images

Haiping Lu; Alex C. Kot; Yun Q. Shi

doi:10.1109/LSP.2003.821748

Distance-reciprocal distortion measure for binary document images

Haiping Lu, Alex C. Kot, Yun Q. Shi

Electrical and Computer Engineering

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

203 Scopus citations

Abstract

In this letter, we present a novel objective distortion measure for binary document images. This measure is based on the reciprocal of distance that is straightforward to calculate. Our results show that the proposed distortion measure matches well to subjective evaluation by human visual perception.

Original language	English (US)
Pages (from-to)	228-231
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	11
Issue number	2 PART II
DOIs	https://doi.org/10.1109/LSP.2003.821748
State	Published - Feb 2004

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Document image
Human visual perception
Objective distortion measure

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10.1109/LSP.2003.821748

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title = "Distance-reciprocal distortion measure for binary document images",

abstract = "In this letter, we present a novel objective distortion measure for binary document images. This measure is based on the reciprocal of distance that is straightforward to calculate. Our results show that the proposed distortion measure matches well to subjective evaluation by human visual perception.",

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AU - Kot, Alex C.

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KW - Human visual perception

KW - Objective distortion measure

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EP - 231

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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Distance-reciprocal distortion measure for binary document images

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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