Title :
Coding Gain and Tuning for Parametrized Visual Quality Metrics
Author :
de Waele, S. ; Verberne, M.J.
Author_Institution :
Philips Res. Eur. -Eindhoven, Eindhoven
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
A visual quality metric for video provides a mathematical expression for visual quality. We show how the coding gain of rate-distortion optimal (RDopt) encoding of the quantizer step size depends on the exact shape of this expression. For the Mean Square Error, we find a small coding gain (1% on average) compared to using a constant quantizer. However, we do find a significant gain for the Structural Similarity (SSIM) (12% on average). Finally, we show parameter tuning using the new Perceptually Weighted Error (PWE). The tuning results in a parameter setting of PWE that offers the best visual quality of RDopt encoding.
Keywords :
data compression; mean square error methods; video coding; coding gain; mean square error method; parametrized visual quality metrics; perceptually weighted error; rate distortion optimal encoding; structural similarity; video compression; Encoding; Europe; Humans; Mean square error methods; Motion estimation; PSNR; Quantization; Rate-distortion; Shape; Video compression; Video compression; objective visual quality metrics; rate-distortion optimization;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379621
