Use of the first-order Wiener kernel transform in the evaluation of SQRIn and PIC quality metrics for JPEG compression

Robin B. Jenkin; Ralph E. Jacobson; Mark A. Richardson

doi:10.1117/12.525738

18 December 2003 Use of the first-order Wiener kernel transform in the evaluation of SQRIn and PIC quality metrics for JPEG compression

Robin B. Jenkin, Ralph E. Jacobson, Mark A. Richardson

Author Affiliations +

Proceedings Volume 5294, Image Quality and System Performance; (2003) https://doi.org/10.1117/12.525738
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

JPEG compression is highly non-linear and non-stationary. This renders the system scene dependent and thus calculation of its MTF is challenging. Evaluation using differing methodologies yields vastly contradictory results. Further, local MTF can vary significantly with respect to position within sub-image blocks for a given measurement technique. Estimation of the first order Wiener kernel transform has been shown to provide a consistent and intuitive alternative to calculation of the MTF. The lack of reliable MTF curves for such a non-linear system may lead to poor performance of image quality metrics calculated using them. This work examines the use of first order Wiener kernel transform curves in the calculation of SQRI_n and PIC metrics for JPEG compression compared to those previously calculated using a traditional edge and sine wave technique. New analysis of previous psychometric experimentation is presented. Results are discussed and conclusions drawn.

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Robin B. Jenkin, Ralph E. Jacobson, and Mark A. Richardson "Use of the first-order Wiener kernel transform in the evaluation of SQRIn and PIC quality metrics for JPEG compression", Proc. SPIE 5294, Image Quality and System Performance, (18 December 2003); https://doi.org/10.1117/12.525738

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