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An improved image compression algorithm based on block and classification scheme

机译:基于块和分类方案的改进图像压缩算法

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To improve compression performance, and realize the automatic selection of compression algorithms in processing images without the prior information, the regularity relationship between compression algorithms and image features is studied, and a preprocessing scheme of block and classification based on image features has been proposed in this paper. Compression algorithms pre and post preprocessing scheme are investigated for the same 100 images. Our scheme achieves the larger peak signal to noise ratio (PSNR), which demonstrates the effectiveness of the proposed preprocessing scheme of block and classification in improving compression performance and selecting suitable algorithm to process image without the prior information.
机译:为了提高压缩性能,并在没有先前信息的情况下实现在处理图像中的压缩算法的自动选择,研究了压缩算法和图像特征之间的规律性关系,并提出了一种基于图像特征的块和分类的预处理方案纸。研究了预处理和后预处理方案的压缩算法,同一100图像。我们的方案实现了较大的峰值信号到噪声比(PSNR),其展示了块和分类所提出的预处理方案的有效性,以改善压缩性能并选择合适的算法在没有先前信息的情况下进行处理图像。

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