A novel direction-based JND model for perceptual HEVC intra coding

Zhipeng Zeng, H. Zeng, J. Chen, Junhui Hou, C. Cai, K. Ma
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引用次数: 3

Abstract

In High efficiency video coding (HEVC), rate distortion optimization (RDO) technique plays a crucial part in improving video coding efficiency. However, the perceptual characteristics of human visual system (HVS) are not taken into consideration in the process of RDO. In this paper, given the prediction patterns of intra frame, a novel direction-based just-noticeable-distortion (DRJND) model as a perceptual feature is introduced to HEVC encoder, which adaptively adjust Lagrange multiplier. Meanwhile, the rate-distortion (RD) cost also needs to be perceptually calculated once again. Experimental results demonstrate that compared with the anchor HM12.0, the proposed algorithm has achieved better experimental results in rate-SSIM performance while keeping its visual quality of the same test sequences.
一种基于方向的感知HEVC帧内编码JND模型
在高效视频编码(HEVC)中,码率失真优化(RDO)技术是提高视频编码效率的关键技术。然而,在RDO过程中并没有考虑到人类视觉系统的感知特性。本文针对帧内预测模式,将一种基于方向的just- visible -distortion (DRJND)模型作为感知特征引入HEVC编码器中,自适应调整拉格朗日乘法器。同时,费率失真(RD)成本也需要再次进行感知计算。实验结果表明,与锚点HM12.0相比,该算法在保持相同测试序列的视觉质量的同时,在速率- ssim性能方面取得了更好的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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