H.265/HEVC Decoding via Iterative Recovery From Incomplete Quantized Measurements
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3624678
Abstract: This letter is dedicated to improving the quality of video sequences compressed by the H.265/HEVC standard. We propose to consider this problem as a signal recovery from incomplete measurements taken in the HEVC transform domain.… read more here.
Keywords: 265 hevc; ista; recovery; recovery incomplete ... See more keywords
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3172214
Abstract: It is promising to solve linear inverse problems by unfolding iterative algorithms (e.g., iterative shrinkage thresholding algorithm (ISTA)) as deep neural networks (DNNs) with learnable parameters. However, existing ISTA-based unfolded algorithms restrict the network architectures… read more here.
Keywords: hybrid ista; free form; deep neural; convergence ... See more keywords