Multiple Channel Model For The Prediction Of Subjective Image Quality

C. Zetzsche; G. Hauske

doi:10.1117/12.952719

15 August 1989 Multiple Channel Model For The Prediction Of Subjective Image Quality

C. Zetzsche, G. Hauske

Proceedings Volume 1077, Human Vision, Visual Processing, and Digital Display; (1989) https://doi.org/10.1117/12.952719
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

A model for the perception of distortions in pictures is suggested. It consists of two main parts: an adaptive input stage realized as a ROG (Ratio of Gaussian) pyramid also suited for applications in image coding and computer vision, and a further decomposition by orientation selective filters including a saturating nonlinearity acting at each point of the filter outputs. The output values for each point of each filter are regarded as feature vector of the internal representation of the input picture. The difference between the internal representations of original and distorted picture is evaluated as norm of the difference vector. Due to local nonlinearities this operation explains periodic and aperiodic masking effects.

Citation Download Citation

C. Zetzsche and G. Hauske "Multiple Channel Model For The Prediction Of Subjective Image Quality", Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); https://doi.org/10.1117/12.952719

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