Estimer, mesurer et corriger les artefacts de compression pour la télévision numérique
TL;DRAbstract
The compression of image data is mandatory for the TV broadcast but generates a number of artefacts. In order to increase the overall image- quality, each correction for a given artefact has to be efficient, reliable and should use low cost operators in order to limit the processing time prior to the image display. To reach this compromise, this study is divided in 3 parts : artefacts estimation, measurement and correction.<br />We define the problematic of this work by estimating the most annoying artefacts and the risks of their corrections : how can we correct the blocking and the ringing effects, that are typical compression artefacts, still limiting the blur effect which is the main artefact of the correction ?<br />These artefacts can be measured by objective metrics which are themselves validated by subjective tests. Based on the study of state-of-the-art solutions and on our analysis of the human perception of these artefacts, we develop two new metrics, the BLE (Block Level Es
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The compression of image data is mandatory for the TV broadcast but generates a number of artefacts. In order to increase the overall image- quality, each correction for a given artefact has to be efficient, reliable and should use low cost operators in order to limit the processing time prior to the image display. To reach this compromise, this study is divided in 3 parts : artefacts estimation, measurement and correction.<br />We define the problematic of this work by estimating the most annoying artefacts and the risks of their corrections : how can we correct the blocking and the ringing effects, that are typical compression artefacts, still limiting the blur effect which is the main artefact of the correction ?<br />These artefacts can be measured by objective metrics which are themselves validated by subjective tests. Based on the study of state-of-the-art solutions and on our analysis of the human perception of these artefacts, we develop two new metrics, the BLE (Block Level Es
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