Research on Image Compression Algorithm Based on SPHIT

Wei Liu
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引用次数: 11

Abstract

An image compression algorithm of higher compression ratio based on SPHIT is proposed and simulated, with studying on the SPHIT algorithm and image compression algorithm. Firstly, the image data is divided into high frequency wavelet coefficients and low frequency wavelet coefficients, through the discrete wavelet transform. Secondly, the wavelet coefficients, which are processed and decomposed to several blocks, pass SPHIT coding, according to the compression ratio of image to adjust the SPHIT output coding stream. Finally, the original image is reconstructed by the SPHIT decoding algorithm and inverse wavelet transform. Simulating results show that a higher Peak Signal to Noise Ratio (PSNR) in proposed algorithm than traditional SPHIT algorithm is obtained in the same compression ratio of the image.
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基于SPHIT的图像压缩算法研究
通过对SPHIT算法和图像压缩算法的研究,提出并仿真了一种基于SPHIT的更高压缩比的图像压缩算法。首先,通过离散小波变换将图像数据分为高频小波系数和低频小波系数;其次,将小波系数处理分解成若干块,通过SPHIT编码,根据图像的压缩比调整SPHIT输出编码流。最后,利用SPHIT解码算法和小波反变换对原始图像进行重构。仿真结果表明,在相同的压缩比下,该算法比传统的SPHIT算法获得了更高的峰值信噪比。
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