A low complexity integer transform and quantization for video coding

Authors:
Zhou Jingli;Xiang Dong;Chen Jiazhong;Yu Shengsheng;Xu Jun
Affiliations:
Department of Computer Science and Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, P. R. China;Department of Computer Science and Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, P. R. China;Department of Computer Science and Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, P. R. China;Department of Computer Science and Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, P. R. China;Department of Computer Science and Engineering, Huazhong University of Science & Technology, Wuhan, Hubei, P. R. China
Venue:
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Year:
2005

Citing 4
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Abstract

This paper presents a new low complexity integer 4×4 transform and quantization. The new 4×4 transform is more approximate to discrete cosine transform (DCT) matrix than the transform in H.264. Moreover, the transform can be calculated without multiplication, just additions and shifts, in 16-bit arithmetic, thus minimizing computational complexity. The quantization can match the distribution of coefficients better than that in H.264. Simulation results reveal a performance increasing up to 1.87% bit rate savings and 0.1 dB in peak signal-to-noise ratio.