Paper
30 October 1997 Image quality measurement using the Haar wavelet
Yung-Kai Lai, C.-C. Jay Kuo
Author Affiliations +
Abstract
The traditional mean-squared-error or peak-signal-to-noise error measures are mainly focused on the pixel-by-pixel difference between the original and compressed images. Such metrics are improper for subjective quality or fidelity assessment, since human perception is very sensitive to correlations between adjacent pixels. In this work, we explore the Haar wavelet to model the space-frequency localization property of human visual system (HVS). It is shown that the physical contrast in different resolutions can be easily represented in terms of transform coefficients. We model HVS with the Haar filter with several visual mechanisms and develop a subjective quality measure which is more consistent with human observation experience.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yung-Kai Lai and C.-C. Jay Kuo "Image quality measurement using the Haar wavelet", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); https://doi.org/10.1117/12.292789
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CITATIONS
Cited by 23 scholarly publications.
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KEYWORDS
Quality measurement

Wavelets

Image quality

Visual process modeling

Image compression

Visual system

Visualization

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