ADAPTIVE NONLINEAR IMAGE ENHANCEMENT of GAUSSIAN DEGRADED IMAGES

Rahul Gowda, Shalin M. Mehta, Yue Yang, Baoxin Li

Research output: Contribution to journalArticle

Abstract

An adaptive technique for nonlinear image enhancement using Gabor filters is proposed. A set of Gabor filters are employed to extract high-pass components from the blurred image and these components are then nonlinearly processed before adding back to the input image for enhancement. Further, we propose a novel method for fast blur estimation and we establish an empirical relationship between the estimated blur and the optimal Gabor filter parameters, resulting in an enhancement system that is adaptive to the degree of blur in the input image. Extensive evaluation, including both PSNR-based objective evaluation and subjective psychophysical tests, confirms the advantages of the proposed approach over existing state-of-the-art methods. This enhancement approach is especially targeted at digital television applications where image blur is present due to various reasons like compression and resolution up-conversion.

Original languageEnglish (US)
Pages (from-to)365-393
Number of pages29
JournalInternational Journal of Image and Graphics
Volume10
Issue number3
DOIs
StatePublished - Jul 1 2010

Fingerprint

Gabor filters
High definition television
Image enhancement
Television applications
Digital television

Keywords

  • blur estimation
  • Gabor
  • HDTV
  • Image enhancement

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

ADAPTIVE NONLINEAR IMAGE ENHANCEMENT of GAUSSIAN DEGRADED IMAGES. / Gowda, Rahul; Mehta, Shalin M.; Yang, Yue; Li, Baoxin.

In: International Journal of Image and Graphics, Vol. 10, No. 3, 01.07.2010, p. 365-393.

Research output: Contribution to journalArticle

Gowda, Rahul ; Mehta, Shalin M. ; Yang, Yue ; Li, Baoxin. / ADAPTIVE NONLINEAR IMAGE ENHANCEMENT of GAUSSIAN DEGRADED IMAGES. In: International Journal of Image and Graphics. 2010 ; Vol. 10, No. 3. pp. 365-393.
@article{23996f1e36e8435b97240b9d23654c69,
title = "ADAPTIVE NONLINEAR IMAGE ENHANCEMENT of GAUSSIAN DEGRADED IMAGES",
abstract = "An adaptive technique for nonlinear image enhancement using Gabor filters is proposed. A set of Gabor filters are employed to extract high-pass components from the blurred image and these components are then nonlinearly processed before adding back to the input image for enhancement. Further, we propose a novel method for fast blur estimation and we establish an empirical relationship between the estimated blur and the optimal Gabor filter parameters, resulting in an enhancement system that is adaptive to the degree of blur in the input image. Extensive evaluation, including both PSNR-based objective evaluation and subjective psychophysical tests, confirms the advantages of the proposed approach over existing state-of-the-art methods. This enhancement approach is especially targeted at digital television applications where image blur is present due to various reasons like compression and resolution up-conversion.",
keywords = "blur estimation, Gabor, HDTV, Image enhancement",
author = "Rahul Gowda and Mehta, {Shalin M.} and Yue Yang and Baoxin Li",
year = "2010",
month = "7",
day = "1",
doi = "10.1142/S0219467810003822",
language = "English (US)",
volume = "10",
pages = "365--393",
journal = "International Journal of Image and Graphics",
issn = "0219-4678",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "3",

}

TY - JOUR

T1 - ADAPTIVE NONLINEAR IMAGE ENHANCEMENT of GAUSSIAN DEGRADED IMAGES

AU - Gowda, Rahul

AU - Mehta, Shalin M.

AU - Yang, Yue

AU - Li, Baoxin

PY - 2010/7/1

Y1 - 2010/7/1

N2 - An adaptive technique for nonlinear image enhancement using Gabor filters is proposed. A set of Gabor filters are employed to extract high-pass components from the blurred image and these components are then nonlinearly processed before adding back to the input image for enhancement. Further, we propose a novel method for fast blur estimation and we establish an empirical relationship between the estimated blur and the optimal Gabor filter parameters, resulting in an enhancement system that is adaptive to the degree of blur in the input image. Extensive evaluation, including both PSNR-based objective evaluation and subjective psychophysical tests, confirms the advantages of the proposed approach over existing state-of-the-art methods. This enhancement approach is especially targeted at digital television applications where image blur is present due to various reasons like compression and resolution up-conversion.

AB - An adaptive technique for nonlinear image enhancement using Gabor filters is proposed. A set of Gabor filters are employed to extract high-pass components from the blurred image and these components are then nonlinearly processed before adding back to the input image for enhancement. Further, we propose a novel method for fast blur estimation and we establish an empirical relationship between the estimated blur and the optimal Gabor filter parameters, resulting in an enhancement system that is adaptive to the degree of blur in the input image. Extensive evaluation, including both PSNR-based objective evaluation and subjective psychophysical tests, confirms the advantages of the proposed approach over existing state-of-the-art methods. This enhancement approach is especially targeted at digital television applications where image blur is present due to various reasons like compression and resolution up-conversion.

KW - blur estimation

KW - Gabor

KW - HDTV

KW - Image enhancement

UR - http://www.scopus.com/inward/record.url?scp=85073066483&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073066483&partnerID=8YFLogxK

U2 - 10.1142/S0219467810003822

DO - 10.1142/S0219467810003822

M3 - Article

AN - SCOPUS:85073066483

VL - 10

SP - 365

EP - 393

JO - International Journal of Image and Graphics

JF - International Journal of Image and Graphics

SN - 0219-4678

IS - 3

ER -