End-to-end optimization of nonlinear transform codes for perceptual quality
End-to-end optimization of nonlinear transform codes for perceptual quality
We introduce a general framework for end-to-end optimization of the rate-distortion performance of nonlinear transform codes assuming scalar quantization. The framework can be used to optimize any differentiable pair of analysis and synthesis transforms in combination with any differentiable perceptual metric. As an example, we consider a code built from …