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首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >Secured Lossy Color Image Compression Using Permutation and Predictions
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Secured Lossy Color Image Compression Using Permutation and Predictions

机译:使用置换和预测的安全有损彩色图像压缩

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Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission. In this paper, a lossy compression method on encrypted color image is introduced with undetectable quality loss and high compression ratio. The proposed method includes the Xinpeng Zhang lossy compression [1], Hierarchical Oriented Prediction (HOP)[2], Uniform Quantization, Negative Sign Removal, Concatenation of 7-bit data and Huffman Compression. The encrypted image is divided into rigid and elastic parts. The Xinpeng Zhang elastic compression is applied on elastic part and HOP is applied on rigid part. This method is applied on different test cases and the results were evaluated. The experimental evidences suggest that, the proposed method has better coding performance than the existing encrypted image compressions, with 9.645 % reductions in bit rate and the eye perception is visually lossless.
机译:由于图像大小的快速增长,人们考虑使用另一种称为视觉无损编码的数字无损编码来减少存储大小并降低数据传输。本文介绍了一种对加密彩色图像进行有损压缩的方法,该方法具有无法检测的质量损失和较高的压缩率。该方法包括张新鹏有损压缩[1],分层预测(HOP)[2],均匀量化,负号去除,7位数据级联和霍夫曼压缩。加密的图像分为刚性部分和弹性部分。张新鹏弹性压缩应用于弹性部件,而HOP应用于刚性部件。该方法适用于不同的测试用例,并评估了结果。实验证据表明,与现有的加密图像压缩相比,所提出的方法具有更好的编码性能,比特率降低了9.645%,并且眼睛的视觉无损。

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