Paper
15 September 2008 Toward objective image quality metrics: the AIC Eval Program of the JPEG
Thomas Richter, Chaker Larabi
Author Affiliations +
Abstract
Objective quality assessment of lossy image compression codecs is an important part of the recent call of the JPEG for Advanced Image Coding. The target of the AIC ad-hoc group is twofold: First, to receive state-of-the-art still image codecs and to propose suitable technology for standardization; and second, to study objective image quality metrics to evaluate the performance of such codes. Even tthough the performance of an objective metric is defined by how well it predicts the outcome of a subjective assessment, one can also study the usefulness of a metric in a non-traditional way indirectly, namely by measuring the subjective quality improvement of a codec that has been optimized for a specific objective metric. This approach shall be demonstrated here on the recently proposed HDPhoto format14 introduced by Microsoft and a SSIM-tuned17 version of it by one of the authors. We compare these two implementations with JPEG1 in two variations and a visual and PSNR optimal JPEG200013 implementation. To this end, we use subjective and objective tests based on the multiscale SSIM and a new DCT based metric.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Richter and Chaker Larabi "Toward objective image quality metrics: the AIC Eval Program of the JPEG", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70730X (15 September 2008); https://doi.org/10.1117/12.795096
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Cited by 5 scholarly publications.
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KEYWORDS
Visualization

JPEG2000

Image compression

Image quality

Molybdenum

RGB color model

Calibration

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