Abstract
Quantization is a key component in High Efficiency Video Coding (HEVC) standard. It enhances coding efficiency, and also introduces quantization distortion which causes degradation of the quality of the reconstructed video. In current framework, HEVC has adopted more transform sizes, and it is obvious that the transform unit (TU) with different transform size has different feature. A TU-level quantization technique, namely an adaptive quantization step size Q along with a fixed transform size is proposed in this paper. The proposed algorithm is implemented in HM software. Compared with HM anchor, the proposed TU-level quantization step adjustment (TUQA) method achieves an average of 0.32%, 2.34% and 2.58% BD bitrate saving for luminance and chrominance components, respectively. The largest BD bitrate saving is up to 1.0% for luminance and 3.8% for chrominance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
