Performance comparison of masking models based on a new psychovisual test method with natural scenery stimuli |
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Authors: | Marcus J Nadenau Julien Reichel Murat Kunt |
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Affiliation: | a Signal Processing Laboratory, Swiss Federal Institute of Technology, CH-1015, Lausanne, Switzerland;b VisioWave Corp., Route de la Pierre 22, 1024, Ecublens, Switzerland |
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Abstract: | Various image processing applications exploit a model of the human visual system (HVS). One element of HVS-models describes the masking-effect, which is typically parameterized by psycho-visual experiments that employ superimposed sinusoidal stimuli. Those stimuli are oversimplified with respect to real images and can capture only very elementary masking-effects. To overcome these limitations a new psycho-visual test method is proposed. It is based on natural scenery stimuli and operates in the wavelet domain. The collected psycho-visual data is finally used to evaluate the performance of various masking models under conditions as found in real image processing applications like compression. |
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Keywords: | HVS Masking Wavelet Image compression Quality assessment |
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