Image Quality Prediction for DCT-based Compression

Abstract : a method for prediction and providing compressed image quality for lossy compression techniques based on discrete cosine transform (DCT) is proposed. A specific property of the designed method is its ability to predict compressed image quality with appropriately high accuracy using a limited number of analyzed blocks. This accelerates prediction of lossy compression quality substantially. The method is originally proposed for JPEG with uniform quantization and then generalized for other, advanced, DCT based coders AGU and ADCT.
Type de document :
Communication dans un congrès
14th International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Feb 2017, Svalyava, Ukraine. 〈10.1109/CADSM.2017.7916121〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622073
Contributeur : Laurent Jonchère <>
Soumis le : mardi 24 octobre 2017 - 09:21:56
Dernière modification le : vendredi 16 novembre 2018 - 01:26:07

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Ruslan Kozhemiakin, Vladimir Lukin, Benoit Vozel. Image Quality Prediction for DCT-based Compression. 14th International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Feb 2017, Svalyava, Ukraine. 〈10.1109/CADSM.2017.7916121〉. 〈hal-01622073〉

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