Adaptive image coding with perceptual distortion control

摘要: This paper presents a discrete cosine transform (DCT)-based locally adaptive perceptual image coder, which discriminates between components based on their relevance for achieving increased performance in terms of quality and bit rate. The new coder uses quantization scheme tractable distortion metric. Our strategy is to exploit human visual masking properties by deriving thresholds fashion. derived are used controlling the stage adapting quantizer reconstruction levels order meet desired target distortion. proposed coding flexible that it can be easily extended work with any subband-based decomposition addition block-based methods. Compared existing methods, method exhibits superior rate control. Coding results presented illustrate scheme.