Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model

arXiv:2402.17487v1 Announce Type: cross
Abstract: The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in the classical frameworks, NN-based models learn the non-linear transforms providing more compact bit representations, and achieve faster coding speed on parallel devices over their classical counterparts. Those properties evoked the attention of both scientific and industrial communities, resulting in the standardization activity JPEG-AI. The verification model for the standardization process of JPEG-AI …

abstract algorithm arxiv coding compression cs.cv cs.lg devices eess.iv faster frameworks image learn linear network neural network non-linear optimization performance rate research speed type verification