One Pass Quality Control and Low Complexity RDO in A Quadtree Based Scalable Image Coder

Yi Liu (1) , Olivier Deforges (1) , François Pasteau (1) , Khouloud Samrouth (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

This paper presents a joint quality control (QC) and rate distortion optimization (RDO) algorithm applied to a still image codec called Locally Adaptive Resolution (LAR). LAR supports scalability in resolution for both lossy and lossless coding and has low complexity. This algorithm is based on the study of the relationship between compression efficiency and relative parameters. The RDO model is proposed firstly to find suitable parameters. Relying on this optimization, relationships between the distortion of reconstructed image and quantization parameter can be described with a new linear model. This model is used for parametric configuration to control compression distortion. Experimental results show that this algorithm provides an effective solution for an efficient one pass codec with automatic parameters selection and accurate QC. This algorithm could be extended to codecs with similar functions, such as High Efficiency Video Coding (HEVC).

Mots clés: rate distortion optimization; image coding; quantization; quality control

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Yi Liu, Olivier Deforges, François Pasteau, Khouloud Samrouth. One Pass Quality Control and Low Complexity RDO in A Quadtree Based Scalable Image Coder. 2013 IEEE Second International Conference on Image Information Processing, Dec 2013, India. ⟨hal-00920591⟩