An investigation on the quality of denoised images

Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, Shogo Muramatsu

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The mean squared error (MSE) and its related metrics such as peak signal to noise ratio (PSNR), root mean squared error (RMSE) and signal to noise ratio (SNR) have been the basis for mathematically defined image quality measurement for a long time. These methods are all based on the MSE. Denoised image quality has also been traditionally measured in terms of the MSE or its derivatives. However, none of these metrics takes the structural fidelity of the image into account. We investigate the structural changes that occur during the denoising process and attempt to study an alternative metric for determining the quality of denoised images based on structural changes. We also show the shortcomings of the MSE-based image quality metrics.

Original languageEnglish
Pages (from-to)423-434
Number of pages12
JournalInternational Journal of Circuits, Systems and Signal Processing
Volume5
Issue number4
Publication statusPublished - 2011
Externally publishedYes

Fingerprint

Image quality
Signal to noise ratio
Derivatives

Keywords

  • Denoise
  • Metric
  • MSE
  • Noise
  • PSNR
  • SSIM
  • TV

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

An investigation on the quality of denoised images. / Ndajah, Peter; Kikuchi, Hisakazu; Yukawa, Masahiro; Watanabe, Hidenori; Muramatsu, Shogo.

In: International Journal of Circuits, Systems and Signal Processing, Vol. 5, No. 4, 2011, p. 423-434.

Research output: Contribution to journalArticle

Ndajah, P, Kikuchi, H, Yukawa, M, Watanabe, H & Muramatsu, S 2011, 'An investigation on the quality of denoised images', International Journal of Circuits, Systems and Signal Processing, vol. 5, no. 4, pp. 423-434.
Ndajah, Peter ; Kikuchi, Hisakazu ; Yukawa, Masahiro ; Watanabe, Hidenori ; Muramatsu, Shogo. / An investigation on the quality of denoised images. In: International Journal of Circuits, Systems and Signal Processing. 2011 ; Vol. 5, No. 4. pp. 423-434.
@article{5034e9702c7c4c2bb541c71e85f2b643,
title = "An investigation on the quality of denoised images",
abstract = "The mean squared error (MSE) and its related metrics such as peak signal to noise ratio (PSNR), root mean squared error (RMSE) and signal to noise ratio (SNR) have been the basis for mathematically defined image quality measurement for a long time. These methods are all based on the MSE. Denoised image quality has also been traditionally measured in terms of the MSE or its derivatives. However, none of these metrics takes the structural fidelity of the image into account. We investigate the structural changes that occur during the denoising process and attempt to study an alternative metric for determining the quality of denoised images based on structural changes. We also show the shortcomings of the MSE-based image quality metrics.",
keywords = "Denoise, Metric, MSE, Noise, PSNR, SSIM, TV",
author = "Peter Ndajah and Hisakazu Kikuchi and Masahiro Yukawa and Hidenori Watanabe and Shogo Muramatsu",
year = "2011",
language = "English",
volume = "5",
pages = "423--434",
journal = "International Journal of Circuits, Systems and Signal Processing",
issn = "1998-4464",
publisher = "North Atlantic University Union NAUN",
number = "4",

}

TY - JOUR

T1 - An investigation on the quality of denoised images

AU - Ndajah, Peter

AU - Kikuchi, Hisakazu

AU - Yukawa, Masahiro

AU - Watanabe, Hidenori

AU - Muramatsu, Shogo

PY - 2011

Y1 - 2011

N2 - The mean squared error (MSE) and its related metrics such as peak signal to noise ratio (PSNR), root mean squared error (RMSE) and signal to noise ratio (SNR) have been the basis for mathematically defined image quality measurement for a long time. These methods are all based on the MSE. Denoised image quality has also been traditionally measured in terms of the MSE or its derivatives. However, none of these metrics takes the structural fidelity of the image into account. We investigate the structural changes that occur during the denoising process and attempt to study an alternative metric for determining the quality of denoised images based on structural changes. We also show the shortcomings of the MSE-based image quality metrics.

AB - The mean squared error (MSE) and its related metrics such as peak signal to noise ratio (PSNR), root mean squared error (RMSE) and signal to noise ratio (SNR) have been the basis for mathematically defined image quality measurement for a long time. These methods are all based on the MSE. Denoised image quality has also been traditionally measured in terms of the MSE or its derivatives. However, none of these metrics takes the structural fidelity of the image into account. We investigate the structural changes that occur during the denoising process and attempt to study an alternative metric for determining the quality of denoised images based on structural changes. We also show the shortcomings of the MSE-based image quality metrics.

KW - Denoise

KW - Metric

KW - MSE

KW - Noise

KW - PSNR

KW - SSIM

KW - TV

UR - http://www.scopus.com/inward/record.url?scp=80054000831&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054000831&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:80054000831

VL - 5

SP - 423

EP - 434

JO - International Journal of Circuits, Systems and Signal Processing

JF - International Journal of Circuits, Systems and Signal Processing

SN - 1998-4464

IS - 4

ER -