Next generations of image and video coding methods should of course be efficient in terms of compression, but also
propose advanced functionalities. Among these functionalities such as scalability, lossy and lossless coding, data
protection, Rate Distortion Optimization (RDO) and Rate Control (RC) are key issues. RDO aims at optimizing
compression performances, while RC mechanism enables to exactly compress at a given rate. A less common
functionality than RC, but certainly more helpful, is Quality Control (QC): the constraint is here given by the quality. In
this paper, we introduce a joint solution for RDO and QC applied to a still image codec called Locally Adaptive
Resolution (LAR), providing scalability both in resolution and SNR and based on a multi-resolution structure. The
technique does not require any additional encoding pass. It relies on a modeling and estimation of the prediction errors
obtained in an early work. First, quality constraint is applied and propagated through the whole resolution levels called
pyramid. Then, the quantization parameters are deduced considering inter and intra pyramid level relationships. Results
show that performances of the proposed method are very close to an exhaustive search solution.
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