基于阈值与人眼特性的小波图像压缩算法

Wavelet Image Compression Algorithm Based on Threshold and Characteristics of Human Eye

针对图像传输数据量大的问题,通过结合小波变换的高效性与普遍性,提出了一种基于阈值与人眼特性的小波图像压缩算法,在图像的低频子带中通过结合阈值与人眼的视觉敏感度,提出了阈值保留算法;而图像的高频子带则是通过结合小波变换后各子带的方向性,并根据小波幅角的不同提出了边缘保留算法;在保证图像质量的同时减少了图像中的冗余信号。实验结果表明,新方法能够实现上述目标且具有低耗时的优势,在图像压缩领域具有较好的发展前景。

Image transmission is difficult due to the large amount of data. In response to this problem, according to the wavelet transform efficiency and universality this paper put forward a wavelet image compression algorithm based on the threshold and the characteristics of the human eye. In the low-frequency sub-band of the image, it puts forward a threshold retention algorithm that uses the threshold and visual sensitivity. In the high-frequency sub-band of the image, it puts forward an edge-preserving algorithm that uses the sub-band directional and the wavelet anglesto reduce the redundancy in an image signal while maintaining image quality. The experimental results show that the algorithm can achieve its goals and has advantages of low power consumption. It has Rood prospects for development in the field of image compression.