DocumentCode :
1420487
Title :
Image quality assessment using the amplitude/phase quantization code
Author :
Kim, Dong-O ; Park, Rae-Hong
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
Volume :
56
Issue :
4
fYear :
2010
fDate :
11/1/2010 12:00:00 AM
Firstpage :
2756
Lastpage :
2762
Abstract :
In our previous work, we presented the phase quantization code-based image quality metric (IQM). Amplitude change as well as phase change is an important factor for evaluating image quality. In this paper, we present a new IQM based on the amplitude/phase quantization code (APQC). When an image is degraded by image compression, noise, transmission error, and so on, the amplitude and phase of quadrature outputs change. In other words, degradation of the image quality results in change in the APQC of the image. Experimental results with the LIVE database show the effectiveness of the proposed quality metric.
Keywords :
data compression; image coding; quantisation (signal); visual databases; APQC; IQM; LIVE database; amplitude-phase quantization code; image compression; image quality assessment; phase quantization code-based image quality metric; quadrature output; transmission error; Gabor filters; Humans; Image edge detection; Image quality; Measurement; Quantization; Visualization; Amplitude/Phase Quantization Code, DMOS, Hamming Distance, Image Quality Assessment.;
fLanguage :
English
Journal_Title :
Consumer Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-3063
Type :
jour
DOI :
10.1109/TCE.2010.5681166
Filename :
5681166
Link To Document :
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