Return
Image Quality Measure Using the Phase Quantization Code
DOI:10.1109/TCE.2010.5506023.png)
Abstract
En 中文
In this paper, we propose a new image quality metric using the phase quantization code (PQC), which represents the sign of phase quadrature output of a complex-valued filter such as the Gabor filter. When an image is degraded by image compression, noise, transmission error, and so on, signs of phase quadrature outputs also change. In other words, degradation of the image quality results in change in the PQC of the image. Experimental results with the laboratory for image and video engineering data set show the effectiveness of the proposed quality metric.
Keywords:
Image Quality Assessment
Phase Quantization Code
Gabor Filter
DMOS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.9
Papers:
5.3K
Citations:
6.8K
Organization
Cited Papers
Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market

