Coefficient-wise Deadzone Hard-decision Quantizer with Adaptive Rounding Offset Model
Haibing Yin, Wang Hongkui, Xiumin Wang, Zhelei Xia · 2016
In comparison with soft-decision quantization (SDQ), deadzone hard-decision quantization (HDQ) is well-suited for parallel processing, but suffering from non-negligible rate distortion (RD) performance loss. By fully simulating the behavior of SDQ, this paper proposes an adaptive deadzone offset model to improve traditional HDQ. Coefficient-wise offset model is elaborately design by offline analysis, forcing the improved HDQ to generate identical result as SDQ by maximizing the right judgment probability. In addition, offset models are adaptively built as functions of quantization step and component-wise parameter of DCT coefficients. The proposed model based HDQ achieves good RD performance and well-suited for hardware encoder implementation design.