Using Double Bit Range Estimation for CABAC in VVC

This work modifies CABAC using the double bit range estimation in the VVC standard and considering range updates for probability predictions. The inclusion of the arithmetic coding engine with multi-hypothesis probability estimation, and their consideration of the context modelling of entropy coding at the transform coefficient levels. In addition to describing the implementation details, this work also discusses the hardware implementation, which is based on simple operations such as bitwise operations and single subsampling for subinterval updates. The experimental results show that these improvements offer some gain in rate-distortion efficiency while incurring a controlled and adjustable complexity overhead. The improved results show that it provides more significant gains in RA and LD, which is better than the AI configuration.