Zheng Ming-Kui, Su Kai-Xiong, Wang Wei-Xing, Yang Xiu-Zhi, Lan Cheng-Dong. An Improved Intra Quantization Matrix for High Efficiency Video Coding Based on Visual Perception[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2861-2868. doi: 10.3724/SP.J.1146.2014.00318
Citation:
Zheng Ming-Kui, Su Kai-Xiong, Wang Wei-Xing, Yang Xiu-Zhi, Lan Cheng-Dong. An Improved Intra Quantization Matrix for High Efficiency Video Coding Based on Visual Perception[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2861-2868. doi: 10.3724/SP.J.1146.2014.00318
Zheng Ming-Kui, Su Kai-Xiong, Wang Wei-Xing, Yang Xiu-Zhi, Lan Cheng-Dong. An Improved Intra Quantization Matrix for High Efficiency Video Coding Based on Visual Perception[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2861-2868. doi: 10.3724/SP.J.1146.2014.00318
Citation:
Zheng Ming-Kui, Su Kai-Xiong, Wang Wei-Xing, Yang Xiu-Zhi, Lan Cheng-Dong. An Improved Intra Quantization Matrix for High Efficiency Video Coding Based on Visual Perception[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2861-2868. doi: 10.3724/SP.J.1146.2014.00318
A Discrete Cosine Transform (DCT) based Modulation Transfer Function (MTF) is used to improve the intra quantization matrix for the High Efficiency Video Coding (HEVC) standard. A new method is used to calculate the spatial frequency in the calculation process. The integer DCT for the HEVC is achieved by scaling and hand-tuning the DCT matrix. Due to difference between these two transforms, the quantization matrices are optimized. The experimental results show that the proposed HEVC intra quantization matrix based on the visual perception can reduce more bit rate at the similar video quality by using a Structural SIMilarity (SSIM) based Bjontegaard Delta Bit Rate (BDBR) performance evaluation. Since only the quantization matrices are changed in the encoding process, the proposed algorithm does not affect the structure of the encoding algorithm and does not add the coding complexity.