基于视觉冗余模型的码率压缩方法

Bit-Rate Compression Method Based on Visual Redundancy Model

提出了一种基于视觉冗余模型的码率压缩方法,它是建立在人眼视觉特性视觉冗余模型的基础上,通过与编码标准参考软件相结合,进一步压缩编码比特数。实验结果表明,在图像质量没有明显变化的前提下,此方法在视频编码标准的基础上能进一步压缩编码比特数,平均压缩率在7%～30%左右。

In this paper, a novel method based on the visual redundancy model is proposed, which describes the bit-rate compression method of pixel areas. Furthermore, method is proposed, which combines with the software of video encoding standards, and it can further decrease bit numbers. The experimental results prove that the proposed method can obtain less bit numbers which average compression rates are between 7% and 30% compared with the software of video encoding standards and the quality of images is same as the original images.