Artifact reduction in JPEG2000 compressed images at low bit-rate using mathematical morphology filtering

Abstract : JPEG2000 is known as an efficient standard to encode images. However, at very low bit-rates, artifacts or distortions can be observed in decoded images. In order to improve the visual quality of decoded images and make them perceptually acceptable, we propose in this work a new preprocessing scheme. This scheme consists in preprocessing the image to be encoded using a nonlinear filtering, considered as a prior phase to JPEG 2000 compression. More specifically, the input image is decomposed into low- and high-frequency sub-images using morphological filtering. Afterward, each sub-image is compressed using JPEG2000, by assigning different bit-rates to each sub-image. To evaluate the quality of the reconstructed image, two different metrics have been used, namely (a) peak signal to noise ratio, to evaluate the visual quality of the low-frequency sub-image, and (b) structural similarity index measure, to evaluate the visual quality of the high-frequency sub-image. Based on the reconstructed images, experimental results show that, at low bit-rates, the proposed scheme provides better visual quality compared to a direct use of JPEG2000 (excluding any preprocessing).
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Signal, Image and Video Processing, Springer Verlag, 2013, <10.1007/s11760-013-0583-6>
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https://hal.archives-ouvertes.fr/hal-00924581
Contributeur : Amine Nait-Ali <>
Soumis le : mardi 7 janvier 2014 - 01:43:52
Dernière modification le : mercredi 27 janvier 2016 - 17:37:52

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Layachi Bennacer, Badreddine Bouledjfane, Amine Nait-Ali. Artifact reduction in JPEG2000 compressed images at low bit-rate using mathematical morphology filtering. Signal, Image and Video Processing, Springer Verlag, 2013, <10.1007/s11760-013-0583-6>. <hal-00924581>

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