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Proceedings Paper

Anisotropic quality measurement applied to H.264 video compression
Author(s): G. M. Callico; Sebastián Lopez; Salvador Gabarda; Elena Gil; Gabriel Cristobal; José Lopez; Roberto Sarmiento
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Paper Abstract

This paper presents the results of measuring the image quality of a video compression system based in the H.264 standard using the Anisotropic Quality Index (AQI). These results have been compared with the quality measured by means of the traditionally used Peak Signal to Noise Ratio (PSNR). The PSNR has demonstrated to be an unreliable way to compute the perceptual quality of images. Although it is widely used because its simplicity and immediacy to be computed, the PSNR and other methods based in the image differences measurement (as the Root Mean Squared Error or RMSE) experience the problem of not properly reflecting the real perceptual image quality. Images with the same amount of noise can present similar PSNRs values even with very different perceptual appearance. In the other side, the AQI has proven to be a more reliable way to analytically measure the perceptual image quality. This new measure is based on the use of a particular type of the high-order Rényi entropies. This method is based on measuring the anisotropy of the image through the variance of the expected value of the pixel-wise directional image entropy. Moreover, the AQI has the additional benefit of not needing a reference image. The reference image, compulsory in the PSNR computation, is usually impossible to obtain in real situations, thus relegating the PSNR only to test-bench developments. The possibility of computing the AQI opens the ability of self-regulated compression systems based on the adjustment of parameters that exhibit greater influence on the final image quality. This work shows the results of compressing several standard video sequences using the H.264 video compression standard. Compared with the PSNR, the AQI represents a better indicator of the perceptual quality of images.

Paper Details

Date Published: 28 May 2009
PDF: 12 pages
Proc. SPIE 7363, VLSI Circuits and Systems IV, 73630I (28 May 2009); doi: 10.1117/12.821652
Show Author Affiliations
G. M. Callico, Univ. de Las Palmas de Gran Canaria (Spain)
Sebastián Lopez, Univ. de Las Palmas de Gran Canaria (Spain)
Salvador Gabarda, Consejo Superior de Investigaciones Científicas (Spain)
Elena Gil, Consejo Superior de Investigaciones Científicas (Spain)
Gabriel Cristobal, Consejo Superior de Investigaciones Científicas (Spain)
José Lopez, Univ. de Las Palmas de Gran Canaria (Spain)
Roberto Sarmiento, Univ. de Las Palmas de Gran Canaria (Spain)


Published in SPIE Proceedings Vol. 7363:
VLSI Circuits and Systems IV
Teresa Riesgo; Eduardo de la Torre; Leandro Soares Indrusiak, Editor(s)

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