Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (7): 177-180.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Application of 2D real-valued discrete Gabor transform in image compression

XU Wei, TAO Liang   

  1. MOE Key Laboratory of Intelligence Computing and Signal Processing, Anhui University, Hefei 230039, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-03-01 Published:2012-03-01

二维实值Gabor变换在图像压缩上的应用

徐 伟,陶 亮   

  1. 安徽大学 计算智能与信号处理教育部重点实验室,合肥 230039

Abstract: The 2-D Real-valued Discrete Gabor Transform(2D RDGT) based on DHT and its fast algorithm is firstly introduced in this paper. The performance differences between 2D RDGT and 2D DCT, 2D RDGT and wavelet transform in image compression and coding are compared, which demonstrates that the 2-D RDGT is more attractive in the recovery of image details, so it is surely useful in image recognition and texture segmentation.

Key words: 2D real-valued discrete Gabor transform, 2D discrete Hartley transform, image compression

摘要: 介绍了基于2-D DHT的二维实值离散Gabor变换(2-D RDGT)及其快速算法。然后比较了2-D RDGT与2-D DCT和小波变换在图像压缩编码方面的性能差异,结果表明利用2-D RDGT方法重建的图像,图像细节恢复得比利用2-D DCT以及小波变换方法要好,因此2-D RDGT在图像识别、纹理分割方面有很好的用途。

关键词: 二维实值离散Gabor变换, 二维离散Hartley变换, 图像压缩