1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Hybrid Model-based / Data-driven Graph Transform for Image Coding
Saghar Bagheri, Tam Thuc Do, Gene Cheung +1
Transform coding to sparsify signal representations remains crucial in an image compression pipeline. While the Karhunen-Loève transform (KLT) computed from an empirical covariance…
eess.SP2020
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection
Saghar Bagheri, Gene Cheung, Antonio Ortega +1
Learning a suitable graph is an important precursor to many graph signal processing (GSP) pipelines, such as graph spectral signal compression and denoising. Previous graph learnin…