Pascal Frossard

Graph transform learning for image compression

2016

In this paper, we propose a new graph-based compression scheme for image coding. Our approach relies on the careful design of a graph that optimizes the overall rate-distortion performance. In particular, we model the pixels …

A Novel Method for Sampling Bandlimited Graph Signals

2018

In this paper we propose a novel vertex based sampling method for k-bandlimited signals lying on arbitrary graphs, that has a reasonable computational complexity and results in low reconstruction error. Our goal is to find …

Optimized Quantization in Distributed Graph Signal Processing

2019

Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates errors …