Image quality measurement using the Haar wavelet

Yung-Kai Lai; C.-C. Jay Kuo

doi:10.1117/12.292789

30 October 1997 Image quality measurement using the Haar wavelet

Yung-Kai Lai, C.-C. Jay Kuo

Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.292789
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

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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