Journal article
Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression
Abstract
Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research. But despite rapidly growing research interests in learning-based image compression, no published method offers both lossless and near-lossless modes. In this paper, we propose a unified and powerful deep lossy plus residual (DLPR) coding framework …
Authors
Bai Y; Liu X; Wang K; Ji X; Wu X; Gao W
Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, No. 5, pp. 3577–3594
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 2024
DOI
10.1109/tpami.2023.3348486
ISSN
0162-8828