Khái niệm cốt lõi
Neural compression design using lattice transform coding approaches optimal vector quantization and improves one-shot coding performance.
Tóm tắt
Neural compression has made significant progress, but sub-optimality arises in i.i.d. sequences due to scalar quantization. Lattice Transform Coding (LTC) overcomes this by employing lattice quantization, achieving optimal vector quantization. LTC enhances one-shot coding on general vector sources and enables block coding for i.i.d. sequences.
Thống kê
NTC with n = 2 achieves the same performance as ECSQ.
LTC improves one-shot coding performance on general vector sources.
LTC avoids exponential complexity of direct codebook search under VQ.
The gap between NTC performance and R(D) is attributed to lack of large block-lengths.
ECVQ directly enumerates quantization centers in the space of x.
Trích dẫn
"NTC is unable to recover ECVQ for n = 2 and always achieves the same performance as ECSQ."
"LTC brings several challenges that require changes compared to NTC training."
"LTC is able to achieve optimal coding schemes for i.i.d. scalar sequences."