TY - GEN
T1 - Image quality assessment using phase spectrum correlation
AU - Skurowski, Przemysław
AU - Gruca, Aleksandra
PY - 2009
Y1 - 2009
N2 - This paper presents the method of evaluating the image quality using similarity of images phase spectrum. The authors introduce phase correlation coefficient as an objective measure of an image quality index which is compared to the subjective distortion evaluation using stimulus impairment scale. Artificially distorted images produced by proportional mixing of images phase spectra with a noise were used for testing purposes. The results are the mean correlation coefficient values related to the mean opinion score grades. The obtained relation between human responses and phase correlation is linear.
AB - This paper presents the method of evaluating the image quality using similarity of images phase spectrum. The authors introduce phase correlation coefficient as an objective measure of an image quality index which is compared to the subjective distortion evaluation using stimulus impairment scale. Artificially distorted images produced by proportional mixing of images phase spectra with a noise were used for testing purposes. The results are the mean correlation coefficient values related to the mean opinion score grades. The obtained relation between human responses and phase correlation is linear.
KW - Image quality assessment
KW - Phase spectrum
UR - https://www.scopus.com/pages/publications/68749103838
U2 - 10.1007/978-3-642-02345-3_9
DO - 10.1007/978-3-642-02345-3_9
M3 - Conference contribution
AN - SCOPUS:68749103838
SN - 3642023444
SN - 9783642023446
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 80
EP - 89
BT - Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers
T2 - International Conference on Computer Vision and Graphics, ICCVG 2008
Y2 - 10 November 2008 through 12 November 2008
ER -