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Research on Image Compression Algorithm Based on SPHIT

机译:基于SPHIT的图像压缩算法研究

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摘要

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.
机译:在研究了SPHIT算法和图像压缩算法的基础上,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,根据图像的压缩比,将经过处理并分解为几个块的小波系数通过SPHIT编码,以调整SPHIT输出编码流。最后,通过SPHIT解码算法和逆小波变换重建原始图像。仿真结果表明,在相同的图像压缩率下,与传统的SPHIT算法相比,所提出的算法具有更高的峰值信噪比(PSNR)。

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