A new color image quality measure based on YUV transformation and PSNR for  human vision system

Yıldıray YALMAN; İsmail ERTÜRK

Makale detayları

A new color image quality measure based on YUV transformation and PSNR for human vision system

Yazarlar:

Yıldıray YALMAN | İsmail ERTÜRK

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.603-612

Belge Tipi:

Makale

Yayın Tarihi:

1/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743367

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Various methods for measuring perceptual image quality  attempt to quantify the visibility of differences between an original  digital image and its distorted version using a variety of known  properties of the human vision system (HVS).  In this paper, we  propose a simple and effective full-reference color image quality  measure (CQM) based on reversible luminance and chrominance (YUV)  color transformation and peak signal-to-noise ratio (PSNR) measure.  The main motivation of this new measure relies on a unique feature of  the human eye response to the luminance and color.  Experimental  studies about the applicability of the CQM on a well-known test image  under 6 different distortions, both perceivable by the human vision  system and with the same PSNR value (i.e. 27.67), are presented.  The  CQM results are obtained as 39.56, 38.93, 38.08, 37.43, 37.10, and  36.79 dB for each distorted image, showing that image quality of the  first image is noticeably higher than the others with respect to the  same PSNR value.  This conclusion attests that using the CQM together  with the traditional PSNR approach provides distinguished results.

 

Various methods for measuring perceptual image quality  attempt to quantify the visibility of differences between an original  digital image and its distorted version using a variety of known  properties of the human vision system (HVS).  In this paper, we  propose a simple and effective full-reference color image quality  measure (CQM) based on reversible luminance and chrominance (YUV)  color transformation and peak signal-to-noise ratio (PSNR) measure.  The main motivation of this new measure relies on a unique feature of  the human eye response to the luminance and color.  Experimental  studies about the applicability of the CQM on a well-known test image  under 6 different distortions, both perceivable by the human vision  system and with the same PSNR value (i.e. 27.67), are presented.  The  CQM results are obtained as 39.56, 38.93, 38.08, 37.43, 37.10, and  36.79 dB for each distorted image, showing that image quality of the  first image is noticeably higher than the others with respect to the  same PSNR value.  This conclusion attests that using the CQM together  with the traditional PSNR approach provides distinguished results.

Makale detayları

A new color image quality measure based on YUV transformation and PSNR for human vision system

Yazarlar: Yıldıray YALMAN | İsmail ERTÜRK

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.603-612

Belge Tipi: Makale

Yayın Tarihi: 1/2013

Belge Dili: Türkçe

Document ID (Org No.): 2000743367

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Yıldıray YALMAN | İsmail ERTÜRK

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.603-612

Belge Tipi:

Makale

Yayın Tarihi:

1/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743367

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632