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Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
March 12, 2024, 4:47 a.m. | Cunhui Dong, Haichuan Ma, Haotian Zhang, Changsheng Gao, Li Li, Dong Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural network-based image coding has been developing rapidly since its birth. Until 2022, its performance has surpassed that of the best-performing traditional image coding framework -- H.266/VVC. Witnessing such success, the IEEE 1857.11 working subgroup initializes a neural network-based image coding standard project and issues a corresponding call for proposals (CfP). In response to the CfP, this paper introduces a novel wavelet-like transform-based end-to-end image coding framework -- iWaveV3. iWaveV3 incorporates many new features such …
abstract arxiv birth call coding cs.cv eess.iv framework ieee image network neural network performance proposals success technology type wavelet
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