基于DCT快速变换的图像压缩编码算法

在JPEG标准中,基于图像压缩的有损压缩算法中的离散余弦变换（DCT）,应用于很多图像压缩场合,并且在实际操作中,能获得较高的压缩比,同时压缩后的图像与原始图像的视觉效果基本相同,因此得到了广泛应用。为了达到提高图像质量的目的,文中提出了一个基于二维离散余弦变换（DCT）的图像压缩改进算法,该算法通过设置量化系数来控制图像压缩数组的大小。同时,在图像压缩部分利用DCT快速算法。仿真实验结果表明：该算法进一步提高了图像的峰值信噪比（PSNR）和主观视觉质量。

A Fast Image Compression Coding Algorithm Based on DCT

In the JPEG standard,the Discrete Cosine Transform （ DCT） in lossy compression algorithm based on image compression,is applied in many image compression fields,and in actual operation,can obtain higher compression ratio,the visual effect of compressed images is basically same to the original image,therefore has been widely applied. In order to achieve the objective of improving image quality,a fast image compression coding algorithm based on two dimensional DCT is proposed in this paper. In the proposed algorithm, the compressed image data array is limited to a certain length by setting a quantization coefficient,meanwhile a fast DCT algorithm is used in the image compression process. The simulation result shows this algorithm can improve the PSNR and subjective visual quality for image further.