Expert system for low frequency adaptive image watermarking: Using psychological experiments on human image perception

Ho Seok Moon, Taewoo You, Myung H. Sohn, Hye Soo Kim, Dong Sik Jang

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

This paper proposes a new system for low frequency adaptive image watermarking based on the statistical data from psychological experiments on human image perception. The new approach can lead to a reduction of degrading the subjective image quality that often occurs when watermark is embedded into low frequency area. In order to reduce the degrading of image quality, the new approach determines the strength of watermark according to local image characteristics such as brightness and contrast. By conducting a behavioral experiment on human image fidelity based on the psycho-visual image association technique, we were able to infer the relationship between the watermark strength and the different levels of image brightness and contrast information. The exact watermark is extracted according to edge characteristics by adopting a so-called edge mask that exploits the coefficients of subbands in the subsampled discrete wavelet transform images. Thus, our new approach does not require original images for watermark. We also show the new approach is practically validated against some standard images.

Original languageEnglish
Pages (from-to)674-686
Number of pages13
JournalExpert Systems with Applications
Volume32
Issue number2
DOIs
Publication statusPublished - 2007 Feb 1

Fingerprint

Image watermarking
Expert systems
Image quality
Luminance
Discrete wavelet transforms
Masks
Experiments
Association reactions

Keywords

  • Blind image watermarking
  • Discrete wavelet transform
  • Edge mask
  • Human image perception
  • Psychological experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Expert system for low frequency adaptive image watermarking : Using psychological experiments on human image perception. / Moon, Ho Seok; You, Taewoo; Sohn, Myung H.; Kim, Hye Soo; Jang, Dong Sik.

In: Expert Systems with Applications, Vol. 32, No. 2, 01.02.2007, p. 674-686.

Research output: Contribution to journalArticle

@article{f8fea95f942e45029c3d667271980fa5,
title = "Expert system for low frequency adaptive image watermarking: Using psychological experiments on human image perception",
abstract = "This paper proposes a new system for low frequency adaptive image watermarking based on the statistical data from psychological experiments on human image perception. The new approach can lead to a reduction of degrading the subjective image quality that often occurs when watermark is embedded into low frequency area. In order to reduce the degrading of image quality, the new approach determines the strength of watermark according to local image characteristics such as brightness and contrast. By conducting a behavioral experiment on human image fidelity based on the psycho-visual image association technique, we were able to infer the relationship between the watermark strength and the different levels of image brightness and contrast information. The exact watermark is extracted according to edge characteristics by adopting a so-called edge mask that exploits the coefficients of subbands in the subsampled discrete wavelet transform images. Thus, our new approach does not require original images for watermark. We also show the new approach is practically validated against some standard images.",
keywords = "Blind image watermarking, Discrete wavelet transform, Edge mask, Human image perception, Psychological experiments",
author = "Moon, {Ho Seok} and Taewoo You and Sohn, {Myung H.} and Kim, {Hye Soo} and Jang, {Dong Sik}",
year = "2007",
month = "2",
day = "1",
doi = "10.1016/j.eswa.2006.01.028",
language = "English",
volume = "32",
pages = "674--686",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier Limited",
number = "2",

}

TY - JOUR

T1 - Expert system for low frequency adaptive image watermarking

T2 - Using psychological experiments on human image perception

AU - Moon, Ho Seok

AU - You, Taewoo

AU - Sohn, Myung H.

AU - Kim, Hye Soo

AU - Jang, Dong Sik

PY - 2007/2/1

Y1 - 2007/2/1

N2 - This paper proposes a new system for low frequency adaptive image watermarking based on the statistical data from psychological experiments on human image perception. The new approach can lead to a reduction of degrading the subjective image quality that often occurs when watermark is embedded into low frequency area. In order to reduce the degrading of image quality, the new approach determines the strength of watermark according to local image characteristics such as brightness and contrast. By conducting a behavioral experiment on human image fidelity based on the psycho-visual image association technique, we were able to infer the relationship between the watermark strength and the different levels of image brightness and contrast information. The exact watermark is extracted according to edge characteristics by adopting a so-called edge mask that exploits the coefficients of subbands in the subsampled discrete wavelet transform images. Thus, our new approach does not require original images for watermark. We also show the new approach is practically validated against some standard images.

AB - This paper proposes a new system for low frequency adaptive image watermarking based on the statistical data from psychological experiments on human image perception. The new approach can lead to a reduction of degrading the subjective image quality that often occurs when watermark is embedded into low frequency area. In order to reduce the degrading of image quality, the new approach determines the strength of watermark according to local image characteristics such as brightness and contrast. By conducting a behavioral experiment on human image fidelity based on the psycho-visual image association technique, we were able to infer the relationship between the watermark strength and the different levels of image brightness and contrast information. The exact watermark is extracted according to edge characteristics by adopting a so-called edge mask that exploits the coefficients of subbands in the subsampled discrete wavelet transform images. Thus, our new approach does not require original images for watermark. We also show the new approach is practically validated against some standard images.

KW - Blind image watermarking

KW - Discrete wavelet transform

KW - Edge mask

KW - Human image perception

KW - Psychological experiments

UR - http://www.scopus.com/inward/record.url?scp=33751036290&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33751036290&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2006.01.028

DO - 10.1016/j.eswa.2006.01.028

M3 - Article

AN - SCOPUS:33751036290

VL - 32

SP - 674

EP - 686

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 2

ER -