6533b7d7fe1ef96bd1268d78

RESEARCH PRODUCT

Comparison of perceptually uniform quantisation with average error minimisation in image transform coding

Jesús V. AlbertJ. SoretJesús MaloF.j. Ferri

subject

Minimisation (psychology)Image codingbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionDomain (mathematical analysis)Image (mathematics)Computer Science::GraphicsComputer Science::SoundComputer Science::MultimediaMetric (mathematics)Limit (mathematics)Artificial intelligenceElectrical and Electronic EngineeringSubjective qualitybusinessTransform codingMathematics

description

An alternative transform coder design criterion based on restricting the maximum perceptual error of each coefficient is proposed. This perceptually uniform quantisation of the transform domain ensures that the perceptual error will be below a certain limit regardless of the particular input image. The results show that the proposed criterion improves the subjective quality of the conventional average error criterion even if it is weighted with the same perceptual metric.

https://doi.org/10.1049/el:19990715