Distortion measure for blocking artifacts in images based on human visual sensitivity

Shanika A. Karunasekera; Nick G. Kingsbury

doi:10.1117/12.157966

22 October 1993 Distortion measure for blocking artifacts in images based on human visual sensitivity

Shanika A. Karunasekera, Nick G. Kingsbury

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157966
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

A visual model which gives a distortion measure for Blocking Artifacts in images is presented. Given the original and the reproduced image as inputs, the model output is a single numerical value which quantifies the visibility of blocking error in the reproduced image. The model is derived based on the human visual sensitivity to horizontal and vertical edge artifacts which result from blocking. Psychovisual experiments have been carried out using a novel experimental technique to measure the sensitivity to edge artifacts with the variation of edge length, edge amplitude, background luminance and background activity. The model parameters are estimated based on these sensitivity measures. The final model has been tested on real images, and the results show that the error predicted by the model correlate well with the subjective ranking.

Citation Download Citation

Shanika A. Karunasekera and Nick G. Kingsbury "Distortion measure for blocking artifacts in images based on human visual sensitivity", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157966

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